uniswap_softmax.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "51421dee",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np                                                                                                                    \n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.distributions.categorical import Categorical\n",
    "from torch.nn.functional import one_hot\n",
    "from abc import abstractmethod, ABC \n",
    "import tqdm\n",
    "import matplotlib.pyplot as plt\n",
    "from functools import partial\n",
    "import os\n",
    "import argparse\n",
    "from functools import partial\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "414f75ea",
   "metadata": {},
   "source": [
    "# Feed forward Neural network and utils\n",
    "\n",
    "- Feedforward neural network\n",
    "- Parameters Initilisation function\n",
    "- Freezing / Unfreezing of networks' parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8e66578a",
   "metadata": {},
   "outputs": [],
   "source": [
    "class FFN(nn.Module):\n",
    "\n",
    "    def __init__(self, sizes, activation=nn.ReLU, output_activation=nn.Identity):\n",
    "        super().__init__()\n",
    "\n",
    "        layers = []\n",
    "        layers.append(nn.BatchNorm1d(sizes[0]))\n",
    "        for j in range(1,len(sizes)):\n",
    "            layers.append(nn.Linear(sizes[j-1], sizes[j]))\n",
    "            if j<(len(sizes)-1):\n",
    "                layers.append(nn.BatchNorm1d(sizes[j]))\n",
    "                layers.append(activation())\n",
    "            else:\n",
    "                #layers.append(nn.BatchNorm1d(sizes[j]))\n",
    "                layers.append(output_activation())\n",
    "\n",
    "        self.net = nn.Sequential(*layers)\n",
    "\n",
    "    def forward(self, *args):\n",
    "        x = torch.cat(args, -1)\n",
    "    \n",
    "        return self.net(x)\n",
    "\n",
    "def init_weights(m):\n",
    "    if isinstance(m, nn.Linear):\n",
    "        nn.init.xavier_uniform_(m.weight.data, gain=nn.init.calculate_gain('relu'))\n",
    "        nn.init.zeros_(m.bias)#m.bias.zero_()#, gain=nn.init.calculate_gain('relu'))\n",
    "        \n",
    "# freeze / unfreeze networks' parameters\n",
    "def toggle(net: nn.Module,  to: bool):\n",
    "    for p in net.parameters():\n",
    "        p.requires_grad_(to)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfd940df",
   "metadata": {},
   "source": [
    "# Utility function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "019e1c41",
   "metadata": {},
   "outputs": [],
   "source": [
    "def U(x, a):\n",
    "    \"\"\" Utility function\n",
    "    Parameters\n",
    "    ----------\n",
    "    a: float\n",
    "        Utility parameter\n",
    "    x: torch.Tensor\n",
    "        Tensor of shape (batch_size, 1)\n",
    "    \"\"\"\n",
    "    assert a>0, 'a needs to be positive'\n",
    "    output = torch.zeros_like(x)\n",
    "    output[x.lt(0)] = x[x.lt(0)]\n",
    "    output[x.ge(0)] = 1-torch.exp(-a*x[x.ge(0)])\n",
    "    return output\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c57810d3",
   "metadata": {},
   "source": [
    "# Utils\n",
    "\n",
    "- Brownian bridge\n",
    "- Geometric Brownian motion with zero drift\n",
    "- Sampling of initial reserves and mid price $(S_0, R^\\alpha_0, R^\\beta_0)$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f989a52d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Brownian_bridge_step(b: torch.Tensor, t: float, T: float, tau: float, **kwargs):\n",
    "    \"\"\"\n",
    "    Step of Brownian bridge given by SDE\n",
    "    dS_t = (b-S_t)/(T-t)dt + dW_t , S_0 = a \n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    t: float\n",
    "        current time \n",
    "    T: float\n",
    "        final time \n",
    "    tau: float\n",
    "        time discretisation step size\n",
    "    b: torch.Tensor\n",
    "        Tensor of shape (batch_size, *). Samples of S_t at current time t\n",
    "    \"\"\"\n",
    "    \n",
    "    next_b = b + (-b)/(T-t) * tau + np.sqrt(tau) * torch.randn_like(b)\n",
    "    return next_b\n",
    "\n",
    "\n",
    "def GBM_step(sigma: float, tau: float, s: torch.Tensor, **kwargs):\n",
    "    \"\"\"\n",
    "    Step of GBM with zero drift\n",
    "    \"\"\"\n",
    "    if kwargs['increment_type'] == \"Brownian Bridge\":\n",
    "        s_next = s * torch.exp(-0.5 * sigma**2 * tau + sigma * kwargs['dW'])\n",
    "    else:\n",
    "        s_next = s * torch.exp(-0.5 * sigma**2 * tau + sigma * np.sqrt(tau)*torch.randn_like(s)) \n",
    "    return s_next"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5c83ca6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def sample_x0(batch_size, dim, device='cpu', ):\n",
    "    \"\"\"\n",
    "    R^\\alpha and R^beta are sampled from a Lognormal\n",
    "    S = R^\\alpha / R^beta plus some noise\n",
    "    \"\"\"\n",
    "    sigma = 0.3\n",
    "    mu = np.log(10)#np.log(10000.0)\n",
    "    z = torch.randn(batch_size, dim, device=device)\n",
    "    x0 = torch.exp((mu-0.5*sigma**2) + sigma*z) # lognormal\n",
    "    x0[:,1] = x0[:,1] * 10 \n",
    "    x0[:,0] = torch.clamp(x0[:,1]/x0[:,2] + 5*torch.randn_like(x0[:,0]), min=5.)\n",
    "    #x0 = -10 + 20*torch.rand(batch_size, dim, device=device)\n",
    "    return x0\n",
    "\n",
    "x0 = sample_x0(10000, dim=3).numpy()\n",
    "plt.hist2d(x0[:,1], x0[:,2], bins=50)\n",
    "plt.colorbar()\n",
    "plt.title(r'Histogram of initial reserves')\n",
    "plt.xlabel(r'$R^\\alpha$')\n",
    "plt.ylabel(r'$R^\\beta$')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5a58a626",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_plots(agent, path_results, n_mc, render=False, **kwargs):\n",
    "    \"\"\"\n",
    "    kwargs: dict\n",
    "        arguments for s process\n",
    "    \"\"\"\n",
    "\n",
    "    agent.v.eval()\n",
    "    agent.alpha.eval()\n",
    "    agent.C.eval()\n",
    "    x0 = sample_x0(n_mc, 3, device=device)\n",
    "    n_steps = 100\n",
    "    \n",
    "    if kwargs['increment_type'] == \"Brownian Bridge\":\n",
    "        kwargs.update(dict(b=torch.zeros_like(x0[:,0]), T=kwargs['tau']*n_steps))\n",
    "\n",
    "    x0[:,0] = x0[:,1] / x0[:,2]\n",
    "    path = [x0]\n",
    "    actions = []\n",
    "    PnL = []\n",
    "    utility = []\n",
    "    \n",
    "    for i in range(1, n_steps):\n",
    "        kwargs['t'] = i * kwargs['tau']\n",
    "        with torch.no_grad():\n",
    "            a, x, u, profit_alpha = agent.step(path[-1], n_mc=1, train=False, **kwargs)\n",
    "        PnL.append(profit_alpha)\n",
    "        path.append(x)\n",
    "        actions.append(a)\n",
    "        utility.append(u.reshape(-1))\n",
    "    path = torch.stack(path, 1)\n",
    "    s, r_alpha, r_beta = path[...,0].cpu(), path[...,1].cpu(), path[...,2].cpu() # (n_mc, L)\n",
    "    V = r_alpha + s*r_beta # (n_mc, L)\n",
    "    actions = torch.stack(actions, 1) # (n_mc, L, 3)\n",
    "    PnL = torch.stack(PnL,1) # (n_mc, L)\n",
    "    utility = torch.stack(utility, 1) # (n_mc, L)\n",
    "    c = actions[...,-3:]\n",
    "    \n",
    "    if render and n_mc<=10:\n",
    "        for i in range(n_mc):\n",
    "            print(i)\n",
    "            fig, ax = plt.subplots(1,3, figsize=(12,4))\n",
    "            ax[0].plot(actions[i,:,0].cpu().numpy(), '.--', label=r'$\\Delta^\\alpha$')\n",
    "            ax[0].plot(actions[i,:,1].cpu().numpy(), '.--', label=r'$\\Delta^\\beta$')\n",
    "            ax[0].set_title('Action')\n",
    "            ax[0].set_xlabel('Step')\n",
    "            ax[0].set_ylabel('Amount')\n",
    "            ax[0].legend()\n",
    "            ax[0].grid()\n",
    "            ax[1].plot(PnL[i].cumsum(0).cpu())\n",
    "            ax[1].set_title('Cumulative PnL')\n",
    "            ax[1].set_xlabel('Step')\n",
    "            ax[1].set_ylabel(r'Profit in $\\alpha$')\n",
    "            ax[1].grid()\n",
    "            ax[2].plot(r_alpha[i]/r_beta[i], label=r'$R^\\alpha / R^\\beta$')\n",
    "            ax[2].plot(s[i], label=r'$S$')\n",
    "            ax[2].set_title(r'$(S_t, R_t^\\alpha / R^\\beta)$ evolution')\n",
    "            ax[2].set_xlabel('Step')\n",
    "            ax[2].set_ylabel('Amount')\n",
    "            ax[2].legend()\n",
    "            ax[2].grid()\n",
    "            fig.tight_layout()\n",
    "            fig.savefig(os.path.join(path_results, 'trajectories_{}.pdf'.format(i)))\n",
    "            plt.show()\n",
    "            #plt.close()\n",
    "    \n",
    "    return (V[:,-1]-V[:,0]).numpy() # n_mc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8373811f",
   "metadata": {},
   "source": [
    "# Actor Critic class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "01947b8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ActorCritic():\n",
    "    \n",
    "    def __init__(self, a: float, gamma: float, kappa: float, discount_factor: float, device = 'cpu', **kwargs):\n",
    "\n",
    "        \"\"\"\n",
    "        \n",
    "        Parameters\n",
    "        ----------\n",
    "        discount_factor: float\n",
    "            Discount factor in Bellman equation between (0,1)\n",
    "        tau: float\n",
    "            Change of time, in time discretisation\n",
    "        sigma: float\n",
    "            Diffusion in LQR SDE. I assume the diffusion is constant. Can be easily changed\n",
    "        gamma: float\n",
    "            (1-gmma) is fee\n",
    "        kappa: float\n",
    "            slippage        \n",
    "        device: str\n",
    "            Device where things are run\n",
    "        \n",
    "        \n",
    "        \"\"\"\n",
    "        self.d = 3 # dimension of the state (s, r_alpha, r_beta)\n",
    "        self.device=device\n",
    "                \n",
    "        # Running cost \n",
    "        self.f = partial(U, a=a)\n",
    "        \n",
    "        # fee\n",
    "        self.gamma = gamma\n",
    "        \n",
    "        # slippage\n",
    "        self.kappa = kappa\n",
    "        \n",
    "        # policy\n",
    "        self.alpha = FFN(sizes = [self.d + 1] + kwargs['hidden_dims'] + [2], output_activation=nn.Softplus).to(device) # Soft policy. input of alpha is (s,r^alpha, r^beta,z) where z is input noise\n",
    "        self.C = FFN(sizes = [self.d] + kwargs['hidden_dims'] + [3], output_activation=nn.Softmax).to(device) # if C=0 sell alpha. if C=1 sell beta\n",
    "        self.alpha.apply(init_weights)\n",
    "        self.optimizer_alpha = torch.optim.Adam(list(self.alpha.parameters()) + list(self.C.parameters()), lr=0.005)\n",
    "        self.scheduler_alpha = torch.optim.lr_scheduler.MultiStepLR(self.optimizer_alpha, milestones=[1000], gamma=0.1)\n",
    "        \n",
    "        # value function\n",
    "        self.v = FFN(sizes = [self.d] + kwargs['hidden_dims'] + [1]).to(device) # input of v is x\n",
    "        self.v.apply(init_weights)\n",
    "        self.optimizer_v = torch.optim.Adam(self.v.parameters(), lr=0.005)\n",
    "        self.scheduler_v = torch.optim.lr_scheduler.MultiStepLR(self.optimizer_v, milestones=[1000], gamma=0.1)\n",
    "        \n",
    "        # discount factor for Bellman equation\n",
    "        self.discount_factor = discount_factor\n",
    "        \n",
    "        \n",
    "    \n",
    "    def step(self, x: torch.Tensor, n_mc: int, train: bool = True, **kwargs):\n",
    "        \"\"\"\n",
    "\n",
    "        Parameters\n",
    "        ----------\n",
    "        x: torch.Tensor\n",
    "            State\n",
    "        n_mc: int\n",
    "            Monte Carlo samples to approximate explorative running_cost\n",
    "        train: bool\n",
    "            boolean that tells whether we are training, or whether we are sampling from the soft policy\n",
    "        kwargs: dict\n",
    "            arguments necessary to calculate a step of mid-price \n",
    "        \"\"\"\n",
    "        n_batch = x.shape[0]\n",
    "        # MONTE CARLO!\n",
    "        x_mc = torch.repeat_interleave(x, n_mc, dim=0) # (n_mc * n_batch, d)\n",
    "        z_a = 2*torch.randn(n_mc*n_batch, 1, device=x.device) # input noise for the policy generator\n",
    "        a = self.alpha(x_mc, z_a)\n",
    "        c = self.C(x_mc)#.reshape(-1)\n",
    "        \n",
    "        # Environment step\n",
    "        s, r_alpha, r_beta = x_mc[:,0], x_mc[:,1], x_mc[:,2] \n",
    "        Delta_alpha, Delta_beta = a[:,0], a[:,1]\n",
    "        \n",
    "        if not train:\n",
    "            m = Categorical(c)\n",
    "            c = one_hot(m.sample(), num_classes = 3)\n",
    "            Delta_alpha[c[:,1].eq(0.)] = 0\n",
    "            Delta_beta[c[:,0].eq(0.)] = 0\n",
    "        \n",
    "        #z_s = torch.randn_like(s) # (n_mc*n_batch, device=x.device)\n",
    "        if kwargs.get('increment_type') == 'Brownian Bridge':\n",
    "            b_next = Brownian_bridge_step(**kwargs)\n",
    "            kwargs['dW'] = b_next.clone() - kwargs['b'].clone()\n",
    "            kwargs['b'] = b_next.clone()\n",
    "\n",
    "        s_step = partial(GBM_step, **kwargs)\n",
    "        s_next = s_step(s=s) #s * torch.exp(-0.5 * self.sigma**2 * self.tau + self.sigma * np.sqrt(self.tau)*z_s) # (n_mc*n_batch)\n",
    "        \n",
    "        r_alpha_next = c[:,0] * r_alpha*r_beta / (r_beta + self.gamma*Delta_beta) + c[:,1] * (r_alpha + Delta_alpha) + c[:,2] * r_alpha\n",
    "        r_beta_next = c[:,0] * (r_beta + Delta_beta) + c[:,1] * r_alpha*r_beta / (r_alpha + self.gamma*Delta_alpha) + c[:,2] * r_beta\n",
    "\n",
    "        profit_alpha = c[:,0] * (r_alpha - r_alpha*r_beta / (r_beta + self.gamma*Delta_beta) - Delta_beta*(s-self.kappa*Delta_beta))\n",
    "        Delta_beta_const_market = r_beta - r_alpha*r_beta/(r_alpha + self.gamma*Delta_alpha)\n",
    "        profit_alpha += c[:,1] * (Delta_beta_const_market * (s - self.kappa*Delta_beta_const_market) - Delta_alpha)\n",
    "        running_cost = self.f(profit_alpha).reshape(-1,1)\n",
    "       \n",
    "        x_next = torch.stack((s_next, r_alpha_next, r_beta_next), dim=1)\n",
    "        \n",
    "        return torch.cat([a, c],1), x_next, running_cost, profit_alpha\n",
    "\n",
    "    \n",
    "    \n",
    "    \n",
    "    def _dynamic_programming(self, x: torch.Tensor, n_mc: int, **kwargs):\n",
    "        \"\"\"\n",
    "        Performs one step environment step and return bellman loss\n",
    "        \n",
    "        Parameters\n",
    "        ----------\n",
    "        x: torch.Tensor\n",
    "            tensor. tensor of shape (N_batch, 3)\n",
    "        n_mc: int\n",
    "            Number of monte carlo samples to approximate drift\n",
    "        kwargs: dict\n",
    "            arguments necessary to calculate a step of mid-price \n",
    "        \n",
    "        Returns\n",
    "        ------\n",
    "        bellman_loss: torch.Tensor\n",
    "            bellman loss: ( v(x) - 1/N_mc \\sum(f + delta * v(x_next)) )^2\n",
    "        \n",
    "        bellman_approx: torch.Tensor\n",
    "            bellman approximation of v(x): 1/N_mc \\sum(f + delta * v(x_next))\n",
    "        \n",
    "        \"\"\"\n",
    "        n_batch = x.shape[0]\n",
    "        _, x_next, running_cost, _ = self.step(x, n_mc, train=True, **kwargs)\n",
    "        \n",
    "        # bellman approx\n",
    "        bellman_approx = running_cost + self.discount_factor * self.v(x_next) # (n_batch*n_mc, 1)\n",
    "        bellman_approx = bellman_approx.reshape(n_batch, n_mc, -1).mean(1) # (n_batch, 1)\n",
    "        \n",
    "        # bellman loss\n",
    "        bellman_loss = torch.pow(self.v(x) - bellman_approx.detach(),2).mean()\n",
    "        return bellman_loss, bellman_approx.mean()\n",
    "    \n",
    "    def update_alpha(self, n_batch, n_mc, **kwargs):\n",
    "        \"\"\"\n",
    "        Gradient ascent on alpha to maximise bellman approx\n",
    "\n",
    "        Parameters\n",
    "        ----------\n",
    "        n_batch: int\n",
    "            batch size\n",
    "        n_mc: int\n",
    "            Monte Carlo size for Monte Carlo approximation of running cost to have some exploration\n",
    "        kwargs: dict\n",
    "            arguments necessary to calculate a step of mid-price \n",
    "        \"\"\"\n",
    "        \n",
    "        toggle(self.v, to=False)\n",
    "        toggle(self.alpha, to=True)\n",
    "        toggle(self.C, to=True)\n",
    "        #self.v.eval()\n",
    "        self.alpha.train()\n",
    "        self.C.train()\n",
    "        \n",
    "        #x0 = torch.randn(n_batch, self.d)\n",
    "        x0 = sample_x0(n_batch, self.d, device = self.device)\n",
    "        self.optimizer_alpha.zero_grad()\n",
    "        _, bellman_approx = self._dynamic_programming(x0, n_mc, **kwargs)\n",
    "        bellman_approx = -1 * bellman_approx # we want to maximise!\n",
    "        bellman_approx.backward()\n",
    "        self.optimizer_alpha.step()\n",
    "        self.scheduler_alpha.step()\n",
    "        return -bellman_approx.detach()\n",
    "    \n",
    "    def update_v(self, n_batch, n_mc, **kwargs):\n",
    "        \"\"\"\n",
    "        Gradient descent on to minimise bellman loss\n",
    "        \n",
    "        Parameters\n",
    "        ----------\n",
    "        n_batch: int\n",
    "            batch size\n",
    "        n_mc: int\n",
    "            Monte Carlo size for Monte Carlo approximation of running cost to have some exploration\n",
    "        kwargs: dict\n",
    "            arguments necessary to calculate a step of mid-price \n",
    "        \"\"\"\n",
    "        \n",
    "        toggle(self.v, to=True)\n",
    "        toggle(self.alpha, to=False)\n",
    "        toggle(self.C, to=False)\n",
    "        self.v.train()\n",
    "        \n",
    "        x0 = sample_x0(n_batch, self.d, device=self.device)\n",
    "        self.optimizer_v.zero_grad()\n",
    "        bellman_loss, _ = self._dynamic_programming(x0, n_mc, **kwargs)\n",
    "        bellman_loss.backward()\n",
    "        self.optimizer_v.step()\n",
    "        self.scheduler_v.step()\n",
    "        return bellman_loss.detach()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59be06a8",
   "metadata": {},
   "source": [
    "# Learning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7be4b480",
   "metadata": {},
   "source": [
    "Disclaimer: I take different values than in the paper and different reserves initialisation, so that it trains faster, as this notebook is being trained on a cpu. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "88417f84",
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.manual_seed(0)\n",
    "np.random.seed(0)\n",
    "\n",
    "results_path = './numerical_results'\n",
    "if not os.path.exists(results_path):\n",
    "    os.makedirs(results_path)\n",
    "\n",
    "\n",
    "a = 0.1 # utility function parameter\n",
    "gamma = 0.99 # (1-gamma) being fee\n",
    "kappa = 0.001 # slippage\n",
    "sigma = 0.3 # diffusion of GBM                                                                                                            \n",
    "device = 'cuda:0' if torch.cuda.is_available() else 'cpu'\n",
    "\n",
    "discount_factor = 0.8\n",
    "tau = 0.1 # time discretisation step length\n",
    "\n",
    "# learning hyperparameters\n",
    "n_batch = 200\n",
    "n_mc = 200\n",
    "hidden_dims = [20,20]\n",
    "n_updates_alpha = 10\n",
    "n_updates_v = 10\n",
    "max_updates = 2000#10000\n",
    "\n",
    "agent = ActorCritic(a=a, gamma=gamma, kappa=kappa, discount_factor=discount_factor, hidden_dims=hidden_dims, device=device)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d1b1ab5",
   "metadata": {},
   "source": [
    "Try to load a pre-trained agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9228dbcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# learning\n",
    "continue_training = False \n",
    "\n",
    "results_path = './numerical_results'\n",
    "if not os.path.exists(results_path):\n",
    "    os.makedirs(results_path)\n",
    "\n",
    "if continue_training:\n",
    "    try:\n",
    "        state = torch.load(os.path.join(results_path, 'state.pth.tar'), map_location=device)\n",
    "        loading_success = True\n",
    "        print('success')\n",
    "    except:\n",
    "        print(\"I could not load a pre-trained model\")\n",
    "        loading_success = False\n",
    "    if loading_success:\n",
    "        agent.alpha.load_state_dict(state['alpha'])\n",
    "        agent.v.load_state_dict(state['v'])\n",
    "        agent.C.load_state_dict(state['C'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f9021f36",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  3%|██████▉                                                                                                                                                                                                                                 | 60/2000 [00:24<13:00,  2.49it/s]\n",
      "  0%|                                                                                                                                                                                                                                                 | 0/2000 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 5.71e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  1%|██▎                                                                                                                                                                                                                                     | 20/2000 [00:03<05:43,  5.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -7.42e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  1%|██▎                                                                                                                                                                                                                                     | 20/2000 [00:04<05:43,  5.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.04e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  2%|████▋                                                                                                                                                                                                                                   | 40/2000 [00:06<05:42,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -9.26e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  2%|████▋                                                                                                                                                                                                                                   | 40/2000 [00:07<05:42,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.43e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  3%|██████▉                                                                                                                                                                                                                                 | 60/2000 [00:10<05:41,  5.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -8.78e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  3%|██████▉                                                                                                                                                                                                                                 | 60/2000 [00:11<05:41,  5.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.75e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  4%|█████████▎                                                                                                                                                                                                                              | 80/2000 [00:14<05:37,  5.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -8.65e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  4%|█████████▎                                                                                                                                                                                                                              | 80/2000 [00:15<05:37,  5.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.49e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  5%|███████████▌                                                                                                                                                                                                                           | 100/2000 [00:17<05:33,  5.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -6.80e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  5%|███████████▌                                                                                                                                                                                                                           | 100/2000 [00:18<05:33,  5.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.26e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  6%|█████████████▊                                                                                                                                                                                                                         | 120/2000 [00:21<05:30,  5.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -5.50e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  6%|█████████████▊                                                                                                                                                                                                                         | 120/2000 [00:21<05:30,  5.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.60e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  7%|████████████████▏                                                                                                                                                                                                                      | 140/2000 [00:24<05:23,  5.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -3.86e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  7%|████████████████▏                                                                                                                                                                                                                      | 140/2000 [00:25<05:23,  5.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.35e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  8%|██████████████████▍                                                                                                                                                                                                                    | 160/2000 [00:28<05:21,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -2.24e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  8%|██████████████████▍                                                                                                                                                                                                                    | 160/2000 [00:29<05:21,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.22e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  9%|████████████████████▊                                                                                                                                                                                                                  | 180/2000 [00:32<05:38,  5.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: -2.87e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  9%|████████████████████▊                                                                                                                                                                                                                  | 180/2000 [00:33<05:38,  5.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 8.65e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 10%|███████████████████████                                                                                                                                                                                                                | 200/2000 [00:36<05:42,  5.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.27e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 10%|███████████████████████                                                                                                                                                                                                                | 200/2000 [00:37<05:42,  5.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.01e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 11%|█████████████████████████▍                                                                                                                                                                                                             | 220/2000 [00:39<05:37,  5.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 2.60e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 11%|█████████████████████████▍                                                                                                                                                                                                             | 220/2000 [00:40<05:37,  5.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.00e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 12%|███████████████████████████▋                                                                                                                                                                                                           | 240/2000 [00:43<05:31,  5.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 3.84e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 12%|███████████████████████████▋                                                                                                                                                                                                           | 240/2000 [00:44<05:31,  5.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 9.57e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 13%|██████████████████████████████                                                                                                                                                                                                         | 260/2000 [00:47<05:27,  5.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 4.30e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 13%|██████████████████████████████                                                                                                                                                                                                         | 260/2000 [00:48<05:27,  5.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 6.79e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 14%|████████████████████████████████▎                                                                                                                                                                                                      | 280/2000 [00:51<05:19,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 4.96e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 14%|████████████████████████████████▎                                                                                                                                                                                                      | 280/2000 [00:52<05:19,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 6.95e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 15%|██████████████████████████████████▋                                                                                                                                                                                                    | 300/2000 [00:54<05:13,  5.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 5.54e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 15%|██████████████████████████████████▋                                                                                                                                                                                                    | 300/2000 [00:55<05:13,  5.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 5.75e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 16%|████████████████████████████████████▉                                                                                                                                                                                                  | 320/2000 [00:58<05:08,  5.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 5.87e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 16%|████████████████████████████████████▉                                                                                                                                                                                                  | 320/2000 [00:59<05:08,  5.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 6.94e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 17%|███████████████████████████████████████▎                                                                                                                                                                                               | 340/2000 [01:02<05:08,  5.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 6.85e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 17%|███████████████████████████████████████▎                                                                                                                                                                                               | 340/2000 [01:03<05:08,  5.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 5.48e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 18%|█████████████████████████████████████████▌                                                                                                                                                                                             | 360/2000 [01:05<05:02,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 6.56e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 18%|█████████████████████████████████████████▌                                                                                                                                                                                             | 360/2000 [01:06<05:02,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 5.14e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 19%|███████████████████████████████████████████▉                                                                                                                                                                                           | 380/2000 [01:09<05:05,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 6.86e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 19%|███████████████████████████████████████████▉                                                                                                                                                                                           | 380/2000 [01:10<05:05,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.82e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 20%|██████████████████████████████████████████████▏                                                                                                                                                                                        | 400/2000 [01:13<04:58,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 7.03e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 20%|██████████████████████████████████████████████▏                                                                                                                                                                                        | 400/2000 [01:14<04:58,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.64e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 21%|████████████████████████████████████████████████▌                                                                                                                                                                                      | 420/2000 [01:17<04:57,  5.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 7.60e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 21%|████████████████████████████████████████████████▌                                                                                                                                                                                      | 420/2000 [01:18<04:57,  5.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.96e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 22%|██████████████████████████████████████████████████▊                                                                                                                                                                                    | 440/2000 [01:20<04:50,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 7.44e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 22%|██████████████████████████████████████████████████▊                                                                                                                                                                                    | 440/2000 [01:21<04:50,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.14e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 23%|█████████████████████████████████████████████████████▏                                                                                                                                                                                 | 460/2000 [01:24<04:40,  5.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 8.06e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 23%|█████████████████████████████████████████████████████▏                                                                                                                                                                                 | 460/2000 [01:25<04:40,  5.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 4.08e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 24%|███████████████████████████████████████████████████████▍                                                                                                                                                                               | 480/2000 [01:27<04:33,  5.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 8.12e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 24%|███████████████████████████████████████████████████████▍                                                                                                                                                                               | 480/2000 [01:28<04:33,  5.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.00e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 25%|█████████████████████████████████████████████████████████▊                                                                                                                                                                             | 500/2000 [01:31<04:34,  5.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 8.47e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 25%|█████████████████████████████████████████████████████████▊                                                                                                                                                                             | 500/2000 [01:32<04:34,  5.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.87e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 26%|████████████████████████████████████████████████████████████                                                                                                                                                                           | 520/2000 [01:35<04:42,  5.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 8.95e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 26%|████████████████████████████████████████████████████████████                                                                                                                                                                           | 520/2000 [01:36<04:42,  5.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.06e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 27%|██████████████████████████████████████████████████████████████▎                                                                                                                                                                        | 540/2000 [01:39<04:37,  5.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 8.72e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 27%|██████████████████████████████████████████████████████████████▎                                                                                                                                                                        | 540/2000 [01:40<04:37,  5.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.43e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 28%|████████████████████████████████████████████████████████████████▋                                                                                                                                                                      | 560/2000 [01:43<04:28,  5.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.20e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 28%|████████████████████████████████████████████████████████████████▋                                                                                                                                                                      | 560/2000 [01:44<04:28,  5.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.54e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 29%|██████████████████████████████████████████████████████████████████▉                                                                                                                                                                    | 580/2000 [01:46<04:23,  5.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.27e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 29%|██████████████████████████████████████████████████████████████████▉                                                                                                                                                                    | 580/2000 [01:47<04:23,  5.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.74e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 30%|█████████████████████████████████████████████████████████████████████▎                                                                                                                                                                 | 600/2000 [01:50<04:18,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.24e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 30%|█████████████████████████████████████████████████████████████████████▎                                                                                                                                                                 | 600/2000 [01:51<04:18,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 6.14e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 31%|███████████████████████████████████████████████████████████████████████▌                                                                                                                                                               | 620/2000 [01:54<04:15,  5.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.47e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 31%|███████████████████████████████████████████████████████████████████████▌                                                                                                                                                               | 620/2000 [01:55<04:15,  5.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.33e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 32%|█████████████████████████████████████████████████████████████████████████▉                                                                                                                                                             | 640/2000 [01:57<04:14,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.06e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 32%|█████████████████████████████████████████████████████████████████████████▉                                                                                                                                                             | 640/2000 [01:59<04:14,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.22e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 33%|████████████████████████████████████████████████████████████████████████████▏                                                                                                                                                          | 660/2000 [02:01<04:11,  5.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.73e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 33%|████████████████████████████████████████████████████████████████████████████▏                                                                                                                                                          | 660/2000 [02:02<04:11,  5.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.36e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 34%|██████████████████████████████████████████████████████████████████████████████▌                                                                                                                                                        | 680/2000 [02:05<04:06,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.27e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 34%|██████████████████████████████████████████████████████████████████████████████▌                                                                                                                                                        | 680/2000 [02:06<04:06,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.96e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 35%|████████████████████████████████████████████████████████████████████████████████▊                                                                                                                                                      | 700/2000 [02:09<04:01,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.35e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 35%|████████████████████████████████████████████████████████████████████████████████▊                                                                                                                                                      | 700/2000 [02:10<04:01,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.97e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 36%|███████████████████████████████████████████████████████████████████████████████████▏                                                                                                                                                   | 720/2000 [02:12<04:00,  5.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 36%|███████████████████████████████████████████████████████████████████████████████████▏                                                                                                                                                   | 720/2000 [02:14<04:00,  5.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.48e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 37%|█████████████████████████████████████████████████████████████████████████████████████▍                                                                                                                                                 | 740/2000 [02:17<04:16,  4.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.96e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 37%|█████████████████████████████████████████████████████████████████████████████████████▍                                                                                                                                                 | 740/2000 [02:18<04:16,  4.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 4.24e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 38%|███████████████████████████████████████████████████████████████████████████████████████▊                                                                                                                                               | 760/2000 [02:21<04:09,  4.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.98e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 38%|███████████████████████████████████████████████████████████████████████████████████████▊                                                                                                                                               | 760/2000 [02:22<04:09,  4.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.27e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 39%|██████████████████████████████████████████████████████████████████████████████████████████                                                                                                                                             | 780/2000 [02:25<03:56,  5.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.80e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 39%|██████████████████████████████████████████████████████████████████████████████████████████                                                                                                                                             | 780/2000 [02:26<03:56,  5.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.46e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 40%|████████████████████████████████████████████████████████████████████████████████████████████▍                                                                                                                                          | 800/2000 [02:28<03:45,  5.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 40%|████████████████████████████████████████████████████████████████████████████████████████████▍                                                                                                                                          | 800/2000 [02:29<03:45,  5.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.67e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 41%|██████████████████████████████████████████████████████████████████████████████████████████████▋                                                                                                                                        | 820/2000 [02:32<03:37,  5.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.84e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 41%|██████████████████████████████████████████████████████████████████████████████████████████████▋                                                                                                                                        | 820/2000 [02:33<03:37,  5.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.75e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 42%|█████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                                      | 840/2000 [02:35<03:30,  5.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.05e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 42%|█████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                                      | 840/2000 [02:36<03:30,  5.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.39e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 43%|███████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                                                                   | 860/2000 [02:39<03:25,  5.54it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 43%|███████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                                                                   | 860/2000 [02:40<03:25,  5.54it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.48e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 44%|█████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                                                                                                 | 880/2000 [02:43<03:24,  5.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.93e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 44%|█████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                                                                                                 | 880/2000 [02:44<03:24,  5.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.13e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 45%|███████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                               | 900/2000 [02:46<03:21,  5.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.48e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 45%|███████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                               | 900/2000 [02:47<03:21,  5.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.98e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 46%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                                                            | 920/2000 [02:50<03:20,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 46%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                                                            | 920/2000 [02:51<03:20,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.45e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 47%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                                          | 940/2000 [02:54<03:12,  5.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.03e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 47%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                                          | 940/2000 [02:54<03:12,  5.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.64e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 48%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                        | 960/2000 [02:57<03:05,  5.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.00e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 48%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                        | 960/2000 [02:58<03:05,  5.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.98e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 49%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                                                     | 980/2000 [03:00<03:00,  5.65it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.06e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 49%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                                                     | 980/2000 [03:01<03:00,  5.65it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.87e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 50%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                   | 1000/2000 [03:04<02:54,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 50%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                   | 1000/2000 [03:05<02:54,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.70e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 51%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                                                | 1020/2000 [03:07<02:50,  5.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 51%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                                                | 1020/2000 [03:08<02:50,  5.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.14e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 52%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                              | 1040/2000 [03:11<02:45,  5.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.58e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 52%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                              | 1040/2000 [03:12<02:45,  5.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.73e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 53%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                            | 1060/2000 [03:14<02:41,  5.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.75e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 53%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                            | 1060/2000 [03:15<02:41,  5.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.55e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 54%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                                         | 1080/2000 [03:17<02:37,  5.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.73e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 54%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                                         | 1080/2000 [03:18<02:37,  5.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.35e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 55%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                       | 1100/2000 [03:21<02:41,  5.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.63e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 55%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                                       | 1100/2000 [03:23<02:41,  5.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.64e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 56%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                                                     | 1120/2000 [03:25<02:43,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 56%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                                                     | 1120/2000 [03:26<02:43,  5.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.67e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 57%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                   | 1140/2000 [03:29<02:40,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.77e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 57%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                   | 1140/2000 [03:30<02:40,  5.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.63e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 58%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                                                                | 1160/2000 [03:33<02:35,  5.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 58%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                                                                | 1160/2000 [03:34<02:35,  5.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 4.81e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 59%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                                                              | 1180/2000 [03:37<02:36,  5.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 59%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                                                              | 1180/2000 [03:38<02:36,  5.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.47e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 60%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                            | 1200/2000 [03:41<02:36,  5.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.77e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 60%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                            | 1200/2000 [03:42<02:36,  5.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.52e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 61%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                         | 1220/2000 [03:45<02:29,  5.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 61%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                                         | 1220/2000 [03:46<02:29,  5.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.30e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 62%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                       | 1240/2000 [03:48<02:24,  5.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 62%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                       | 1240/2000 [03:49<02:24,  5.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.47e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 63%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                     | 1260/2000 [03:52<02:16,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.90e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 63%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                     | 1260/2000 [03:53<02:16,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.92e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 64%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                  | 1280/2000 [03:56<02:13,  5.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 64%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                  | 1280/2000 [03:57<02:13,  5.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 5.01e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 65%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                | 1300/2000 [03:59<02:09,  5.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.73e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 65%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                                | 1300/2000 [04:00<02:09,  5.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.40e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 66%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                              | 1320/2000 [04:03<02:02,  5.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 66%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                                              | 1320/2000 [04:04<02:02,  5.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.01e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 67%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                            | 1340/2000 [04:07<02:01,  5.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.08e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 67%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                            | 1340/2000 [04:08<02:01,  5.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.27e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 68%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                                         | 1360/2000 [04:11<02:03,  5.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 68%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                                         | 1360/2000 [04:12<02:03,  5.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.55e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 69%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                                       | 1380/2000 [04:15<02:02,  5.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.10e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 69%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                                       | 1380/2000 [04:16<02:02,  5.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.47e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 70%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                     | 1400/2000 [04:19<01:56,  5.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 70%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                     | 1400/2000 [04:20<01:56,  5.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.35e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 71%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                  | 1420/2000 [04:22<01:48,  5.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.85e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 71%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                  | 1420/2000 [04:23<01:48,  5.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.39e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 72%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                | 1440/2000 [04:26<01:42,  5.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.95e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 72%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                | 1440/2000 [04:27<01:42,  5.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.18e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 73%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                              | 1460/2000 [04:29<01:37,  5.54it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.06e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 73%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                              | 1460/2000 [04:30<01:37,  5.54it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.11e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 74%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                           | 1480/2000 [04:33<01:32,  5.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.05e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 74%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                           | 1480/2000 [04:33<01:32,  5.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.36e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 75%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                         | 1500/2000 [04:36<01:28,  5.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.09e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 75%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                         | 1500/2000 [04:37<01:28,  5.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.16e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 76%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                       | 1520/2000 [04:39<01:23,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.11e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 76%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                       | 1520/2000 [04:40<01:23,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.85e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 77%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                     | 1540/2000 [04:43<01:19,  5.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.03e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 77%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                     | 1540/2000 [04:44<01:19,  5.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 3.19e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 78%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                  | 1560/2000 [04:46<01:17,  5.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.07e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 78%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                  | 1560/2000 [04:47<01:17,  5.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.81e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 79%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                | 1580/2000 [04:50<01:15,  5.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 79%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                                | 1580/2000 [04:51<01:15,  5.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.41e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 80%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                              | 1600/2000 [04:54<01:10,  5.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.03e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 80%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                              | 1600/2000 [04:54<01:10,  5.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.28e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 81%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                           | 1620/2000 [04:57<01:06,  5.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.04e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 81%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                           | 1620/2000 [04:58<01:06,  5.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.08e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 82%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                         | 1640/2000 [05:00<01:02,  5.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 82%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                         | 1640/2000 [05:01<01:02,  5.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.51e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 83%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                       | 1660/2000 [05:04<00:58,  5.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.05e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 83%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                       | 1660/2000 [05:05<00:58,  5.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.34e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 84%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                    | 1680/2000 [05:07<00:54,  5.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.03e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 84%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                    | 1680/2000 [05:08<00:54,  5.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.12e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 85%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                  | 1700/2000 [05:11<00:51,  5.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.05e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 85%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                  | 1700/2000 [05:11<00:51,  5.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.45e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 86%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                | 1720/2000 [05:14<00:47,  5.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 9.93e-01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 86%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                | 1720/2000 [05:15<00:47,  5.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.84e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 87%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                              | 1740/2000 [05:17<00:44,  5.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 87%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                              | 1740/2000 [05:18<00:44,  5.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.47e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 88%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                           | 1760/2000 [05:21<00:41,  5.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.04e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 88%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                           | 1760/2000 [05:22<00:41,  5.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.28e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 89%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                         | 1780/2000 [05:24<00:38,  5.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 89%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                         | 1780/2000 [05:25<00:38,  5.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.46e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 90%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                       | 1800/2000 [05:28<00:34,  5.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 90%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                       | 1800/2000 [05:29<00:34,  5.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.21e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 91%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                    | 1820/2000 [05:32<00:32,  5.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.06e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 91%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                    | 1820/2000 [05:33<00:32,  5.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 8.22e-03\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 92%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                  | 1840/2000 [05:36<00:29,  5.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.02e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 92%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                  | 1840/2000 [05:37<00:29,  5.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.12e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                | 1860/2000 [05:40<00:26,  5.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.03e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                | 1860/2000 [05:41<00:26,  5.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.04e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 94%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏             | 1880/2000 [05:43<00:22,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.10e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 94%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏             | 1880/2000 [05:44<00:22,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.47e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 95%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌           | 1900/2000 [05:47<00:18,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.05e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 95%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌           | 1900/2000 [05:48<00:18,  5.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 2.02e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊         | 1920/2000 [05:51<00:14,  5.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.04e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊         | 1920/2000 [05:52<00:14,  5.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.16e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 97%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████       | 1940/2000 [05:54<00:10,  5.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.04e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 97%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████       | 1940/2000 [05:55<00:10,  5.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 8.66e-03\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍    | 1960/2000 [05:58<00:07,  5.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.03e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍    | 1960/2000 [05:59<00:07,  5.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.33e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋  | 1980/2000 [06:01<00:03,  5.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.03e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋  | 1980/2000 [06:02<00:03,  5.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman loss: 1.13e-02\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2000/2000 [06:05<00:00,  5.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bellman approx: 1.01e+00\n"
     ]
    }
   ],
   "source": [
    "s_args = dict(sigma=sigma, tau=tau, increment_type=\"BM\")\n",
    "# learning\n",
    "pbar = tqdm.tqdm(total = max_updates)\n",
    "count = 0\n",
    "bellman_loss = []\n",
    "bellman_approx = []\n",
    "while count < max_updates:\n",
    "\n",
    "    for i in range(n_updates_v):\n",
    "        loss = agent.update_v(n_batch = n_batch, n_mc = n_mc, **s_args)\n",
    "        bellman_loss.append(loss)\n",
    "    pbar.write('bellman loss: {:1.2e}'.format(loss.item()))\n",
    "\n",
    "    for i in range(n_updates_alpha):\n",
    "        v_approx = agent.update_alpha(n_batch = n_batch, n_mc = n_mc, **s_args)\n",
    "        bellman_approx.append(v_approx)\n",
    "    pbar.write('bellman approx: {:1.2e}'.format(v_approx.item()))\n",
    "\n",
    "    count += n_updates_alpha + n_updates_v\n",
    "    pbar.update(n_updates_alpha + n_updates_v)\n",
    "\n",
    "# save results\n",
    "state = {\"alpha\":agent.alpha.state_dict(), \"v\":agent.v.state_dict(), \"C\": agent.C.state_dict()}\n",
    "torch.save(state, os.path.join(results_path, \"state.pth.tar\"))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e87f0422",
   "metadata": {},
   "source": [
    "# Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "70f6557f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Bellman loss')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(bellman_loss)\n",
    "plt.yscale('log')\n",
    "plt.xlabel('Value function updates')\n",
    "plt.ylabel('Bellman loss')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f159d224",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Bellman approximation of value function')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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J04vXsVuPbnz+wOEMLuiOu7O1pIJ+Pbu1QbQi0tE0mADc/UbgRjO70d2vbsWYstrHm0vYUFTGlBH9eHBu+sCsE/cZyHWnfoo9+uRz2J6Ftd4zM938RSSyKFVAs8ysr7tvAzCzAuAId384zsCyzZbicuZ+vIWL/h40cn/9iDG8tqz29MGvfOdIhu2mLpoikhlRRgLPc/dJdbbNdff94wysPp25F9C+1z1Va2WgpEsPH8PFh46iX49u9S6DJyLSlGb3AqL+hePVWTxDSiuCSdJSb/7duuRQXpnga0eM4bsnjG/D6ESkM4tyI59tZr8Gfk8wIOwbwK5NESlp3lz+CX977UP+u+wTiupMs/zUlYcxpKB7s5d/ExGJIkoC+AbwQ+A+gl5ATwP/L86gOruS8krOvv2NWtuuOnZPLj+64fnZRUQyLcpkcMXA91ohlqyxZmtp9fOxA3qxbMMODhmzextGJCLZKMpI4D2BbwEjU/d396PiC6vzKa9McPItr7B0ww72HdIXqFl+cHNxObup+6aItLIoVUD/Av4E/AVoeAFXadSGolKWbtgBwILVwfq55xwYLDqum7+ItIUoCaDS3f8YeySd3LadFbVeX37UWM28KSJtKsod6FEz+zrwEFCW3Ojum2OLqhNKJoA/njuZfYb0ZUhB9zaOSESyXZQEcEH499sp2xwYnflwOp/ZKzbTrUsO9731MQAjdu+p0bwi0i5E6QU0qjUC6Yw2FJVy5p9er7VtcEF+G0UjIlJblF5AX6xvu7vfmflwOpeNRWW1Xt998UEU9FCDr4i0D1GqgA5IeZ4PHA3MAZQAmrCtJKj3/+np+zCobz7Tx/Zv44hERGpEqQL6RuprM+sL3BVbRJ3I1rDhd+rIfowfqCWURaR9aU4/xBJAcxY0oLSiivE/fLLWtr7du7ZRNCIiDYvSBvAoQa8fCGYGnQDcH2dQHdmiNdvTtg3so4ZfEWl/GlsSMs/dy4BfpmyuBD5y9/SlqprBzE4AfgvkAn9x959n4rhtqawyGCx98YxRjCrsyWHjCrUur4i0S42VAF4HJgMXu/v5mT6xmeUSTDF9LLAKeMvMHnH3xZk+V2tKzut/+v5D2Cec80dEpD1qLAF0M7MLgGlmdkbdN939wRae+0BgmbsvBzCzfwKnAR06AWwuLgegd76meRCR9q2xu9SlwLlAAfDpOu850NIEMAT4OOX1KuCgujuZ2SXAJQDDhw9v4Snjc//sj/nOA/OrX/fOV8OviLRvDSYAd38VeNXMZrv7X2M4d30V42kLFLv77cDtEKwJHEMcLVZemah18wfooxKAiLRzTa45GNPNH4Jf/MNSXg8F1sR0rlgtXLOt+vl+Q/vyzrXH0SVXyzmKSPvWlj9T3wLGmdkoYDXweeALbRhPsyUbfmd+bRpTRvRr42hERKJpswTg7pVmdhnwFEE30L+5+6K2iqcldoQJoFeeqn1EpOOIMhDMCBqDR7v79WY2HBjo7rNaenJ3fwJ4oqXHaWvFZWECUL2/iHQgUSqq/wAcApwTvi4i6L+f9VZv3cl/Fqzl+seCnqu9tMKXiHQgUe5YB7n7ZDObC+DuW8ws6+c0XrRmGyff8mqtbT3zctsoGhGRXRelBFARjtp1ADMrBBKxRtUBrNlaWuv1l6aNVM8fEelQopQAbiFYD3iAmf0MOBP4QaxRdQDJev8nrzyUvfborfl+RKTDibIewN1m9jbBQjAGnO7uS2KPrJ3bESaA3Xp0081fRDqkKL2AhhOsAfBo6jZ3XxlnYO1ZWWVVdQmgp7p+ikgHFeXu9ThB/b8RLAk5CngP+FSMcbVbH2zcwdG/eqn6dY9uavgVkY4pShXQvqmvzWwy8NXYImrHEgmvdfMHVP0jIh3WLndbcfc51F4oPmu8+eHmWq8f+vq0NopERKTlorQBXJXyModgkZiNsUXUjq3dthOAF751BEP7daerun2KSAcWpQ2gd8rzSoI2gZnxhNM+uTtmxradFUCwyLtu/iLS0UVpA/hxawTSXu0sr2L/nzzN/xy7V3XXT831LyKdQWOLwj9KPQu0JLn7qbFE1M7M/XgLpRUJfvZEzdAHjfgVkc6gsZ+yv2y1KNqxjzeXVD/P75rDpGEFbReMiEgGNbYk5EsNvZdNtu8Mqn0WXHec1vkVkU4lSi+gccCNwASCgWAAuPvoGONqN7aXVpBj0FNTPYtIJxOlMvsO4I8EPYCOBO4E7oozqPagpLwSd+fl9zfSO78rOTka8CUinUuUn7Xd3f05MzN3/wi4zsxeAX4Uc2xt5sNNxRz5yxfbOgwRkVhFSQClZpYDLA3X8F0NDIg3rLb16rJNtV7366G6fxHpfKIkgCuBHsDlwE8IqoEuiDGmWF33yCL2HtSbsw8Y3uA+yUXep4zox6cG9+HSw8e0VngiIq0mSgKodPcdwA7gwpjjidWW4nL+/t8VAI0mgOKySnIMHrj0EE32JiKdVpQE8GszGwT8C/inuy+KOabYLFi9DYBuDQzk+uOLH5BwZ87KLfTM66Kbv4h0alGmgjjSzAYCZwG3m1kf4D53/2ns0WVYMgGM2L1H2nurt+7kpiffbe2QRETaTKQ5Ddx9nbvfAlwKzAOujTOouLyx/BMA8rumL+Lylf+b3drhiIi0qSgDwfYGziZYDP4T4J/A/8QcVyzWbisFgj7+n771VSqqEvz28/vz9KJ1LF67HYCpI/qxcM02zj1oRFuGKiISuyhtAHcA9wLHufuamOOJ1aYdZQCs2rKTssoEAMf/5uVa+/zv2ZMYtlt6FZGISGfTZBWQux/s7r/N5M3fzD5nZovMLGFmUzN13MZUVCXYWhLM55+8+dd185kTdfMXkazRVvMaLwTOAF5uasdM2VxcDkD3lPr/i6aPAmD3nt24eMYoTt9/SGuFIyLS5tpkhjN3XwKtu6D6xqKg+mfMgJ4sXL2dLx4ygsuPHsvSDUX87PR9GV5PzyARkc6swRKAmd0V/r2i9cKpN45LzGy2mc3euLH5SxEn6//HFvYCoLBXHgU9unHXlw/SzV9EslJjJYApZjYCuMjM7gRq/Vx3982NHdjMngUG1vPWNe7+76gBuvvtwO0AU6dObXCFsqYkq4AuPWIMYwp7cfGhWTGbtYhIgxpLAH8CngRGA29TOwF4uL1B7n5Mi6PLoOLyKgB269GNbxw9ro2jERFpew1WAbn7Le6+N/A3dx/t7qNSHh3u5/PO8mCCtx55WthFRASiTQXxNTPbDzg03PSyu89vyUnN7DPArUAh8LiZzXP341tyzKaUhCWA7vWMAhYRyUZNdgM1s8uBuwnWABgA3G1m32jJSd39IXcf6u557r5H3Dd/gJ3lVeR1ySFXK3uJiADRuoFeDBzk7sUAZnYT8DrBL/gOo6S8ih7d9OtfRCQpykAwA6pSXldRp0dQRxAkANX/i4gkRZ0L6E0zeyh8fTrw19giisnOikryu7bVwGcRkfYnSiPwr83sRWAGwS//C919btyBZVplldO1gYVgRESyUaQ6EXefA8yJOZZYVSWcLrkdruZKRCQ2WfOTuDLh5OZkzeWKiDQpa+6IVQmni7qAiohUy5oEUJlIaAyAiEiKKAPBzjCzpWa2zcy2m1mRmW1vjeAySSUAEZHaojQC/wL4dHIO/46qMuHkd1UCEBFJilIFtL6j3/whKAGoCkhEpEaUEsBsM7sPeBgoS2509wfjCioOqgISEaktSgLoA5QAx6Vsc6DDJQCVAEREakQZCXxhawQSt8qE00XjAEREqkXpBTTUzB4ysw1mtt7MZprZ0NYILpNUAhARqS3KT+I7gEeAwcAQ4NFwW4dSmUioDUBEJEWUBFDo7ne4e2X4+DvBSl4dSlWVSgAiIqmiJIBNZnaemeWGj/OAT+IOLNMqNRmciEgtURLARcBZwDpgLXBmuK1DURuAiEhtUXoBrQRObYVYYlWZcHJNCUBEJKnBBGBm33H3X5jZrQT9/mtx98tjjSzDqjQdtIhILY2VAJLTP8xujUDipgVhRERqazABuPuj4dMSd/9X6ntm9rlYo4pBVcLJURWQiEi1KHUiV0fc1q4l3NGSwCIiNRprAzgROAkYYma3pLzVB6iMO7BMS7hjqAQgIpLUWBvAGoL6/1OBt1O2FwHfbMlJzexm4NNAOfABcKG7b23JMZvigHqBiojUaKwN4B3gHTO7x90rMnzeZ4Cr3b3SzG4iqFL6bobPUc3dcQdTG4CISLUoteIjzewBM1tsZsuTj5ac1N2fdvdkNdIbQKyTy3nYiVX3fxGRGlEng/sjQb3/kcCdwF0ZjOEi4D8NvWlml5jZbDObvXHjxmadIDmIQb2ARERqREkA3d39OcDc/SN3vw44qqkPmdmzZrawnsdpKftcQ5BY7m7oOO5+u7tPdfephYXNm4MuERYB1AYgIlIjyopgpWaWAyw1s8uA1cCApj7k7sc09r6ZXQCcAhzt7mkjjTMpmQDUBiAiUiNKCeBKoAdwOTAFOB+4oCUnNbMTCBp9T3X3kpYcKwq1AYiIpIsyGdxb4dMdQKaWh/wdkAc8E/4qf8PdL83QsdMkE4DaAEREajSZAMxsKnANMCJ1f3ef2NyTuvvY5n62OaqrgFrzpCIi7VyUNoC7gW8DC4BEvOHEQ72ARETSRUkAG939kdgjiVFNI3AbByIi0o5ESQA/MrO/AM8BZcmN7v5gbFFlWE0jsDKAiEhSlARwITAe6EpNFZADHSgBaByAiEhdURLAfu6+b+yRxCiRLAG0bRgiIu1KlHEAb5jZhNgjiVF1CUBFABGRalFKADOAC8zsQ4I2AAO8Jd1AW1tCbQAiImmiJIATYo8iZq5xACIiaRpbEayPu28nWACmQ9M4ABGRdI2VAO4hmKztbYJ7aOrd04HRMcaVUZoNVEQkXWMrgp0S/h3VeuHEI6HJ4ERE0jTZC8jMvlznda6Z/Si+kDLPNR20iEiaKN1AjzazJ8xskJntS7CEY++Y48oo1zgAEZE0UaaD/oKZnU0wGVwJcI67vxZ7ZBmk6aBFRNJFqQIaB1wBzARWAOebWY+Y48qo6kbgKOUdEZEsEeWW+Chwrbt/FTgcWAq81fhH2pea9QBUAhARSYoyEOzAcDwA4dq9vzKzDjU9dHIcgGqARERqRCkB9DGzh8xso5mtN7OZwM64A8ukmtlAlQFERJKiJIA7gEeAQcAQgiqhO+IMKtM0DkBEJF2UBFDo7ne4e2X4+DswIOa4Mkq9gERE0kVJAJvM7LxwAFiumZ0HbIo7sEzSovAiIumiJICLgLOAdcBa4MxwW4ehJSFFRNI12gvIzHKBG9z91FaKJxaaDE5EJF2jJQB3rwIKzaxbK8UTC5UARETSRRkHsAJ4Lez7X5zc6O6/jiuoTHNUAhARqStKAlgTPnLoYJPAJSXUC0hEJE2UyeB+DMEKYcFLb/EKYWb2E+A0IAFsAL7k7mtaetyGJDQdqIhImiiTwU01swXAfGCBmb1jZlNaeN6b3X2iu08CHgOubeHxGqVxACIi6aJUAf0N+Lq7vwJgZjMIRgJPbO5Jk3MLhXpSM11PLFy9gERE0kRJAEXJmz+Au79qZpmoBvoZ8EVgG3BkI/tdAlwCMHz48Gadq3oqCNUBiYhUizIQbJaZ3WZmR5jZ4Wb2B+BFM5tsZpMb+pCZPWtmC+t5nAbg7te4+zDgbuCyho7j7re7+1R3n1pYWLir15c8BqASgIhIqiglgEnh37rrAE8jqLo5qr4PufsxEWO4B3i8nuNnTKJ6Pui4ziAi0vFE6QXUYPVMc5nZOHdfGr48FXg30+dIVTMOQBlARCSpyQRgZrsT/DqfQfCL/1Xgenf/pAXn/bmZ7UXQDfQj4NIWHKtJ6gUkIpIuShXQP4GXgc+Gr88F7gOiVvGkcffPNr1X5lTPBqr7v4hItSgJYDd3/0nK65+a2ekxxROLmhJA28YhItKeROkF9IKZfd7McsLHWQSNth1GTQlAGUBEJClKAvgqQU+d8vDxT+AqMysys+2NfrKd0EwQIiLpovQC6pATwKVSLyARkXRR2gAws37AOCA/uc3dX44rqExLJIK/SgAiIjWidAO9GLgCGArMAw4GXqeBAWDtkXoBiYiki9IGcAVwAPBROChsf2BjrFFlWPVAYCUAEZFqURJAqbuXAphZnru/C+wVb1iZlZwLSJPBiYjUiNIGsMrMCoCHgWfMbAvBCmEdRvU4gCjpTkQkS0TpBfSZ8Ol1ZvYC0Bd4MtaoMkxLQoqIpIvUCyjJ3V+KK5A4VTcCt3EcIiLtSVZUitQ0AisFiIgkZUcC0IIwIiJpsiIBaC4gEZF0TSYAMzvDzJaa2TYz296R5gBK0mygIiLpojQC/wL4tLsviTuYuGhReBGRdFGqgNZ35Js/aCoIEZH6RCkBzDaz+wgGgpUlN7r7g3EFlXHVA8GUAUREkqIkgD5ACXBcyjYHOkwC0DgAEZF0UUYCX9gagcQpOQ5AI4FFRGpEmQ46H/gy8ClqrwdwUYxxZVRC4wBERNJEaQS+CxgIHA+8RLAuQFGcQWVaonoocJuGISLSrkRJAGPd/YdAsbv/H3AysG+8YWWYa0lIEZG6oiSAivDvVjPbh2A20JGxRRQDzQYqIpIuSi+g28M1gX8IPAL0Aq6NNaoMUy8gEZF0UXoB/SV8+hIwOpMnN7NvATcDhe6+KZPHTuUqAYiIpInSC6gA+CJBtU/1/u5+eUtObGbDgGOBlS05ThTJEoCKACIiNaJUAT0BvAEsABIZPPf/At8B/p3BYzZK3UBFRGpESQD57n5VJk9qZqcCq939naamaDazS4BLAIYPH96s8yXUC0hEJE2UBHCXmX0FeIzacwFtbuxDZvYswfiBuq4Bvk/tqSUa5O63A7cDTJ061ZvYvV7Vs4Hq/i8iUi1KAignaKi9hppZFZwmGoTd/Zj6tpvZvsAoIPnrfygwx8wOdPd1EePeJWoEFhFJFyUBXEUwGCwjvXTcfQEwIPnazFYAU+PsBaTpoEVE0kUZCLaIYDbQDsurxwEoA4iIJEUpAVQB88zsBWq3AbSoG2jKcUZm4jiNnyP4q15AIiI1oiSAh8NHh6WpIERE0kUZCfx/rRFInNQGICKSrsEEYGYLqOn1k8bdJ8YSUQyqZ4NWBhARqdZYCeCUVosiZu6uX/8iInU0mADc/aPWDCRO7qr/FxGpq7EqoCJSak/Cvx4+d3fvE3NsGZNwVw8gEZE6GisB9G7NQOKUcI0BEBGpK8pAMMxshpldGD7vb2aj4g0rsxy1AYiI1NVkAjCzHwHfBa4ON3UD/hFnUJmmNgARkXRRSgCfAU4FigHcfQ3QoaqHEgmVAERE6oqSAMo9mEzHAcysZ7whZZ6jEoCISF1REsD9ZnYbUBCuC/As8Od4w8qshMYBiIikiTIVxC/N7FhgO7AXcK27PxN7ZBnkruWARUTqijIZHOEN/xkz6w98Em9Imefu5GgggIhILQ1WAZnZwWb2opk9aGb7m9lCYCGw3sxOaL0QWy6hEoCISJrGSgC/I1i7ty/wPHCiu79hZuOBe4EnWyG+jNhnSB/KKqvaOgwRkXalsQTQxd2fBjCz6939DQB3f7ejzap59gHDOfuA4W0dhohIu9JYL6BEyvOddd5rcJpoERHpGBorAexnZtsJqs+7h88JX+fHHpmIiMSqscngclszEBERaV2RJoMTEZHORwlARCRLKQGIiGQpJQARkSylBCAikqUsmOm5YzCzjUBzF6vvD2zKYDgdga45O+ias0NLrnmEuxfW3dihEkBLmNlsd5/a1nG0Jl1zdtA1Z4c4rllVQCIiWUoJQEQkS2VTAri9rQNoA7rm7KBrzg4Zv+asaQMQEZHasqkEICIiKZQARESyVFYkADM7wczeM7NlZva9to4nE8xsmJm9YGZLzGyRmV0Rbt/NzJ4xs6Xh334pn7k6/A7eM7Pj2y76ljGzXDOba2aPha879TWbWYGZPWBm74b/vQ/Jgmv+ZvjveqGZ3Wtm+Z3tms3sb2a2IVxuN7ltl6/RzKaY2YLwvVtsV1bscvdO/QBygQ+A0UA34B1gQlvHlYHrGgRMDp/3Bt4HJgC/AL4Xbv8ecFP4fEJ47XnAqPA7yW3r62jmtV8F3AM8Fr7u1NcM/B9wcfi8G1DQma8ZGAJ8CHQPX98PfKmzXTNwGDAZWJiybZevEZgFHEKwVst/CJbvjRRDNpQADgSWuftydy8H/gmc1sYxtZi7r3X3OeHzImAJwf84pxHcMAj/nh4+Pw34p7uXufuHwDKC76ZDMbOhwMnAX1I2d9prNrM+BDeKvwK4e7m7b6UTX3OoC8FCVF2AHsAaOtk1u/vLwOY6m3fpGs1sENDH3V/3IBvcmfKZJmVDAhgCfJzyelW4rdMws5HA/sCbwB7uvhaCJAEMCHfrLN/Db4DvUHvJ0s58zaOBjcAdYbXXX8ysJ534mt19NfBLYCWwFtjmwfrknfaaU+zqNQ4Jn9fdHkk2JID66sM6Td9XM+sFzASudPftje1az7YO9T2Y2SnABnd/O+pH6tnWoa6Z4JfwZOCP7r4/UExQNdCQDn/NYb33aQRVHYOBnmZ2XmMfqWdbh7rmCBq6xhZdezYkgFXAsJTXQwmKkx2emXUluPnf7e4PhpvXh8VCwr8bwu2d4XuYDpxqZisIqvKOMrN/0LmveRWwyt3fDF8/QJAQOvM1HwN86O4b3b0CeBCYRue+5qRdvcZV4fO62yPJhgTwFjDOzEaZWTfg88AjbRxTi4Ut/X8Flrj7r1PeegS4IHx+AfDvlO2fN7M8MxsFjCNoPOow3P1qdx/q7iMJ/js+7+7n0bmveR3wsZntFW46GlhMJ75mgqqfg82sR/jv/GiCNq7OfM1Ju3SNYTVRkZkdHH5XX0z5TNPauiW8lVrbTyLoJfMBcE1bx5Oha5pBUNSbD8wLHycBuwPPAUvDv7ulfOaa8Dt4j13oKdAeH8AR1PQC6tTXDEwCZof/rR8G+mXBNf8YeBdYCNxF0PulU10zcC9BG0cFwS/5LzfnGoGp4ff0AfA7whkeojw0FYSISJbKhiogERGphxKAiEiWUgIQEclSSgAiIllKCUBEJEspAUiHZWZVZjYvnDHyX2bWo5F9v2RmvwufX2pmX2y9SBuMaUcT7xeY2ddbKx7JPkoA0pHtdPdJ7r4PUA5cGuVD7v4nd78z3tAyogBQApDYKAFIZ/EKMDacT/1hM5tvZm+Y2cS6O5rZdWb2rfD5WDN71szeMbM5ZjbGzO4ys9NS9r/bzE6tc4wjLFyPIHz9OzP7Uvh8hZndZGazwsfYcPsoM3vdzN4ys5+kfLaXmT0Xnn9Byrl/DowJSzk3h/t+O/z8fDP7cbitp5k9Hl7DQjM7OzNfqXR2SgDS4YVTBp8ILCAYQTrX3ScC3yeYHrcxdwO/d/f9COabWUsw1fSF4bH7htuf2MWwtrv7gQQjM38TbvstwaRuBwDrUvYtBT7j7pOBI4FfhcP6vwd8EJZyvm1mxxFMAXAgwejgKWZ2GHACsMbd9wtLQ0/uYqySpZQApCPrbmbzCKZJWEkwN9IMgqkDcPfngd3Dm3gaM+sNDHH3h8L9S929xN1fIihNDADOAWa6e+UuxnZvyt9DwufTU7bflRoKcIOZzQeeJZjOd496jnlc+JgLzAHGEySEBcAxYanjUHfftouxSpbq0tYBiLTATneflLqhgeXwGprvpLGl8+4CziWYdO6iet6vpPYPqPxGztnQ86RzgUJgirtXhLOd1j1eMt4b3f22tDfMphDMBXWjmT3t7tfX83mRWlQCkM7mZYIbKmZ2BLDJG1gnIdy+ysxOD/fPS+lJ9HfgynC/RfV8/CNgQviZvgQzVqY6O+Xv6+Hz1wgSCskYQ30J1jmoMLMjgRHh9iKC5T6TngIuCteAwMyGmNkAMxsMlLj7PwgWUplc3/WK1KUSgHQ21xGsnjUfKKFmat2GnA/cZmbXE8zK+DlgubuvN7MlBLNvpnH3j83sfoIZOpcSVMukyjOzNwl+ZJ0TbrsCuMfMriBYxyHpbuBRM5tNMKvru+E5PjGz1yxYNPw/YTvA3sDrYUFnB3AeMBa42cwS4TV8rYlrFgHQbKAi9QlLAguAybtapx5W4Ux1901xxCaSKaoCEqnDzI4h+BV+qxpUpTNTCUBEJEupBCAikqWUAEREspQSgIhIllICEBHJUkoAIiJZ6v8D7oWFeE0HeokAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(bellman_approx)\n",
    "plt.xlabel('Policy updates')\n",
    "plt.ylabel('Bellman approximation of value function')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7eedfedc",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([  21.157288,  295.02963 ,  -97.85546 ,   96.74469 , -153.56952 ,\n",
       "        -60.286964, -141.31409 ,  -25.981613,   26.352081,  -30.494324],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mc = 10\n",
    "s_args = dict(sigma=sigma, tau=tau, increment_type=\"Brownian Bridge\")\n",
    "make_plots(agent, results_path, mc, render=True, **s_args)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4dfebe8c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}