notebooks/notebook_withdefender.ipynb

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     "data": {
      "text/plain": [
       "'Attacker agent benchmark comparison in presence of a basic defender\\n\\nThis notebooks can be run directly from VSCode, to generate a\\ntraditional Jupyter Notebook to open in your browser\\n you can run the VSCode command `Export Currenty Python File As Jupyter Notebook`.\\n'"
      ]
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     "execution_count": 1,
     "metadata": {},
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   ],
   "source": [
    "# Copyright (c) Microsoft Corporation.\n",
    "# Licensed under the MIT License.\n",
    "\n",
    "\"\"\"Attacker agent benchmark comparison in presence of a basic defender\n",
    "\n",
    "This notebooks can be run directly from VSCode, to generate a\n",
    "traditional Jupyter Notebook to open in your browser\n",
    " you can run the VSCode command `Export Currenty Python File As Jupyter Notebook`.\n",
    "\"\"\""
   ]
  },
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   "id": "macro-definition",
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   "source": [
    "import sys\n",
    "import logging\n",
    "import gym\n",
    "import importlib\n",
    "\n",
    "import cyberbattle.agents.baseline.learner as learner\n",
    "import cyberbattle.agents.baseline.plotting as p\n",
    "import cyberbattle.agents.baseline.agent_wrapper as w\n",
    "import cyberbattle.agents.baseline.agent_dql as dqla\n",
    "import cyberbattle.agents.baseline.agent_randomcredlookup as rca\n",
    "from cyberbattle.agents.baseline.agent_wrapper import Verbosity\n",
    "from cyberbattle._env.defender import ScanAndReimageCompromisedMachines\n",
    "from cyberbattle._env.cyberbattle_env import AttackerGoal, DefenderConstraint\n",
    "\n",
    "importlib.reload(learner)\n",
    "importlib.reload(p)\n",
    "\n",
    "logging.basicConfig(stream=sys.stdout, level=logging.ERROR, format=\"%(levelname)s: %(message)s\")\n",
    "\n",
    "\n",
    "cyberbattlechain_defender = gym.make('CyberBattleChain-v0',\n",
    "                                     size=10,\n",
    "                                     attacker_goal=AttackerGoal(\n",
    "                                         own_atleast=0,\n",
    "                                         own_atleast_percent=1.0\n",
    "                                     ),\n",
    "                                     defender_constraint=DefenderConstraint(\n",
    "                                         maintain_sla=0.80\n",
    "                                     ),\n",
    "                                     defender_agent=ScanAndReimageCompromisedMachines(\n",
    "                                         probability=0.6,\n",
    "                                         scan_capacity=2,\n",
    "                                         scan_frequency=5))\n",
    "\n",
    "\n",
    "ep = w.EnvironmentBounds.of_identifiers(\n",
    "    maximum_total_credentials=22,\n",
    "    maximum_node_count=22,\n",
    "    identifiers=cyberbattlechain_defender.identifiers\n",
    ")\n",
    "\n",
    "iteration_count = 600\n",
    "training_episode_count = 10"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "id": "floating-cambridge",
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     "text": [
      "###### DQL\n",
      "Learning with: episode_count=10,iteration_count=600,ϵ=0.9,ϵ_min=0.1, ϵ_expdecay=5000,γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n",
      "  ## Episode: 1/10 'DQL' ϵ=0.9000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 1|reward:    0.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 7|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "\r",
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    },
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      "\r",
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    },
    {
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     "text": [
      "\n"
     ]
    },
    {
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     "text": [
      "  Episode 1 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 6/49 (0.11)\n",
      "    explore-remote: 8/241 (0.03)\n",
      "    explore-connect: 2/230 (0.01)\n",
      "    exploit-local: 1/0 (1.00)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 1/62 (0.02)\n",
      "  exploit deflected to exploration: 29\n",
      "  ## Episode: 2/10 'DQL' ϵ=0.8097, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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      "Episode 2|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 2|Iteration 600|reward:  394.0|last_reward_at:  223|Elapsed Time: 0:00:05||"
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     "text": [
      "\n"
     ]
    },
    {
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     "text": [
      "  Episode 2 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 4/66 (0.06)\n",
      "    explore-remote: 6/196 (0.03)\n",
      "    explore-connect: 1/196 (0.01)\n",
      "    exploit-local: 3/12 (0.20)\n",
      "    exploit-remote: 2/11 (0.15)\n",
      "    exploit-connect: 2/101 (0.02)\n",
      "  exploit deflected to exploration: 7\n",
      "  ## Episode: 3/10 'DQL' ϵ=0.7294, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 3|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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     ]
    },
    {
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     "text": [
      "  Episode 3 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/40 (0.00)\n",
      "    explore-remote: 5/165 (0.03)\n",
      "    explore-connect: 1/194 (0.01)\n",
      "    exploit-local: 4/3 (0.57)\n",
      "    exploit-remote: 1/43 (0.02)\n",
      "    exploit-connect: 1/143 (0.01)\n",
      "  exploit deflected to exploration: 2\n",
      "  ## Episode: 4/10 'DQL' ϵ=0.6583, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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      "Episode 4|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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     ]
    },
    {
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     "text": [
      "  Episode 4 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 2/50 (0.04)\n",
      "    explore-remote: 16/142 (0.10)\n",
      "    explore-connect: 1/186 (0.01)\n",
      "    exploit-local: 17/16 (0.52)\n",
      "    exploit-remote: 4/57 (0.07)\n",
      "    exploit-connect: 10/99 (0.09)\n",
      "  exploit deflected to exploration: 8\n",
      "  ## Episode: 5/10 'DQL' ϵ=0.5951, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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      "Episode 5|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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     ]
    },
    {
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     "text": [
      "  Episode 5 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 1/39 (0.03)\n",
      "    explore-remote: 5/155 (0.03)\n",
      "    explore-connect: 1/157 (0.01)\n",
      "    exploit-local: 4/6 (0.40)\n",
      "    exploit-remote: 1/101 (0.01)\n",
      "    exploit-connect: 2/128 (0.02)\n",
      "  exploit deflected to exploration: 17\n",
      "  ## Episode: 6/10 'DQL' ϵ=0.5391, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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      "Episode 6|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 600|reward:  745.0|last_reward_at:  200|Elapsed Time: 0:00:06||"
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     ]
    },
    {
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     "text": [
      "  Episode 6 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 3/48 (0.06)\n",
      "    explore-remote: 10/167 (0.06)\n",
      "    explore-connect: 2/176 (0.01)\n",
      "    exploit-local: 8/13 (0.38)\n",
      "    exploit-remote: 4/98 (0.04)\n",
      "    exploit-connect: 4/67 (0.06)\n",
      "  exploit deflected to exploration: 91\n",
      "  ## Episode: 7/10 'DQL' ϵ=0.4895, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
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      "Episode 7|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 47|reward:  257.0|last_reward_at:   47|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 61|reward:  382.0|last_reward_at:   54|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 61|reward: 5382.0|last_reward_at:   54|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 61|reward: 5382.0|last_reward_at:   61|Elapsed Time: 0:00:00||"
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    },
    {
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     "text": [
      "\n"
     ]
    },
    {
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     "text": [
      "  Episode 7 ended at t=61 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 1/4 (0.20)\n",
      "    explore-remote: 6/7 (0.46)\n",
      "    explore-connect: 0/10 (0.00)\n",
      "    exploit-local: 6/8 (0.43)\n",
      "    exploit-remote: 0/11 (0.00)\n",
      "    exploit-connect: 4/4 (0.50)\n",
      "  exploit deflected to exploration: 0\n",
      "  ## Episode: 8/10 'DQL' ϵ=0.4848, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 8|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
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     ]
    },
    {
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     "text": [
      "  Episode 8 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 1/57 (0.02)\n",
      "    explore-remote: 9/112 (0.07)\n",
      "    explore-connect: 1/128 (0.01)\n",
      "    exploit-local: 19/40 (0.32)\n",
      "    exploit-remote: 11/119 (0.08)\n",
      "    exploit-connect: 10/93 (0.10)\n",
      "  exploit deflected to exploration: 39\n",
      "  ## Episode: 9/10 'DQL' ϵ=0.4412, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
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      "Episode 9|Iteration 26|reward: 5570.0|last_reward_at:   25|Elapsed Time: 0:00:00||"
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     ]
    },
    {
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     "text": [
      "  Episode 9 ended at t=26 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 1/2 (0.33)\n",
      "    explore-remote: 1/2 (0.33)\n",
      "    explore-connect: 0/2 (0.00)\n",
      "    exploit-local: 7/1 (0.88)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 6/4 (0.60)\n",
      "  exploit deflected to exploration: 0\n",
      "  ## Episode: 10/10 'DQL' ϵ=0.4395, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 10|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 319|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 327|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 335|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 342|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 350|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 357|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 365|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 373|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 380|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 388|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 395|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:03||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 403|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 411|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 418|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 426|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 433|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 441|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 449|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 456|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 464|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 471|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 478|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 487|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 494|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:04||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 502|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 509|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 517|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 525|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 532|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 540|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 547|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 555|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 563|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 570|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 578|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 585|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 593|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:05||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 600|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:06||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 600|reward:  252.0|last_reward_at:   59|Elapsed Time: 0:00:06||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 10 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/28 (0.00)\n",
      "    explore-remote: 4/163 (0.02)\n",
      "    explore-connect: 0/142 (0.00)\n",
      "    exploit-local: 4/16 (0.20)\n",
      "    exploit-remote: 2/171 (0.01)\n",
      "    exploit-connect: 2/68 (0.03)\n",
      "  exploit deflected to exploration: 64\n",
      "simulation ended\n"
     ]
    },
    {
     "data": {
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dG4PHfVbZU9i53TgNPeFt8DfAG/H6VwP1zsVdsEPegdiL08T95ed75cm/jTNssxL30GkNlJ3jHYxDOKvLt4F1gRslOGrvm8DKwLovBbo8+X+G+9rwl60Dvo7zpzkAfGKOG8xXpFq8dgY5PhKwPYML5wnHI7CsGjd6MY67kG8ILFtL4EU3Q7vVOKfgnZ58WzO8sC/EWduOevu4PrDsM8BnAvNf8o7HIG746KrAsvO862jGURwcH7W31zu/P0pBthPOD+EoUoJ7WB7yfv/OiX5GQ8B5KZ7vz+P5S3jzwVF7MeD9KchTgxsNtdO7PrpxHzcRb/9eFaj7YVzIEr+7KThqbxsnjnI5FfdwHWLmUXtz3ZvLcV0Y/bgu+6965a0cf15sw4UWSH7JrMO5Dbwvw+v3S7j7egh3Hb8laflTcE70R3EvouAoqPnO7Vzrvge4I2lbz/T27/UZ7stcz4N13j76x3z9DNfabm9ZE/A73PP8CE5Jfl4a9+r9ZEGR8ta/AvecH+aJI62/C7wrxeN9/gz7e39g+WPBfZzrOTLXfRR8duAUoAOe/FcF1v0ix58zGV/jpKFIBbb1JdxHzWHvvM6o/DC/InUSbhDWIe/YvSFQ94S2kmTeTgYGhcD6Gb0PA/s027tqIeue8Fye7Sde5awiIk/GjTi6QlW/n2Eb1+GUk7emUPd+3Mn9XCbbKjZE5DU4ZfCdYcuSCiLyL8CAqv7vvJUXKSLyCC7kwMEQtn0N7uVYUEFURWQJTok8S1W3hy1PqojID4DrVbU7UCa4F+ZmVZ2p+6ogKLV7VUROwvkePTNL7Z2Pe9eclKX2ivIanwkR+QmuJ6hk3sOpPpdzEnxMVR8VkZcA54jIj3V2Z+652vhsDkQrCVS1qNJzqKqlTJgHVc1pZOwi5e+A3xXbC0ZVnxDyRVXVc/GZzr9EqVNq96qq7sNZAwuVorzGk/H8ps/CdaeXDKk+l3MWxVVVf4HrDjCMjBCRzzBzTKnbVfUN+ZanEPAckE+eYdHrVfWOfMuTK8Sl+hBcdHHDKDlK5RoXkVtw+3C9njjab9GQk649wzAMwzCMxcBC4kgZhmEYhmEsakyRMowsICK7ReTCPGznRhEpKh85wzkpi0gqAWoNwygyTJEyjJARkftF5G/yuL1qEfm8F3E5ISKPiMhFgeXrRUSTAue9J6mNC0Xk9yIyLCL7ROTyJ25pxm2HqgiGvf1UEJFrRCQ58nw22p33vBqGkT45czY3DKNgqcDF7PpLXBycFwF3i8iTVHV3oF7jTCNuRaQdF2TzalxcqQZcoMecIyIVmYwCNk5gxvNqGEZmmEXKMLLHU0WkS0QOi8jNIlIDLnu5iHxLRAa8Zd/y4tsgIh/ABUH8pGch+KRX3iEiPxSRQyLSLyLvCmynSkRu9axJnSJydjpCquqwqt6oqrtVdVpVvwXsAv4ixSb+BZeQ+ruqOqmqB1X1sflWEpEX4nKAvdLb1z965a8TkW5vf3aKyOsD65zvWbzeLiJ9wM0iskREbvGOZbeI/HOw20xEWkXkXu947xKRt8y1/TnkPaG7NmjNClh3rhORHhHpFZF/DNRdIiJf9GTsAp6a1PY7ROQxb5+7ROSlXvkWXLDbZ3gyHvHKq0XkIyLyuHc9fEZcDCLDMELGFCnDyB5X4tJvbMDlivwXr7wMuBkXtmAdLoLuJwFU9d24MCFvUtU6VX2TuDxXP8IlS23FRTH+cWA7lwB34axA3/DbAvCUtCOz/L41k9AistqTNzm/1B5PiblZRFYGyp/urfcnT4G4XUSWz3dwVPV7uIjRX/b21c9xFcOlnooArwM+JiJnBVZtxkVIPxm4DngvLnr3qbgkqcdCZIhIGS4i/B9xqT0uAN4qIi+YY/sL4Tm4KPTPB94eULzei7sONuCuiauT1nsMp0A34FJM3S4iLV4QzzcAv/Fk9C19N+HO0Zm462EN8K/ePq+b45wfEZErkrY923k1DCMDTJEyjOzxSVXdq6qHcAmCXw3gWWzuVdURL87KB3DdarNxMdCnqh9V1VFVTajqg4Hlv1TV76jL3n4bgaSbqnqxnpi8NPi7OHlDIlIJ3AHcoqpRr/gAzoJyMs5KVe/V8TkJl5z0MpwSsQT475SPUhKq+m1VfUwdP8OlrgkmM50G3quqY6p6FJcM/YOqetgLuPiJQN2nAk2q+m+qOq6qO3EJxV+VqXzz8D7PwvcnnLLsJ4O+HJda4pCq7k2SEVW9R1V7PIvgl3HpNZ420wZERHAK5D947SVwCuGrvLYen+OcN6rqnV5T851XwzAywHykDCN77A1M78FZkxCRWlwi6RfiEmcC1ItIuacMJbMWZ7GYjb7A9AhQk4nvkGe9uQ2Xgf5NfrmqDgEPebP9IvImoFdE6r2X+FHgZj/ViYh8EGdBywhxju7vxVlcynCJx/8UqDKgLsO8TysnHuvg9MlAq98l5lFO7oIDJ5/zJ3nTyTLuCa4kIq/FJaVe7xXVAbNZh5pwx+Rhp1O5JnD7lTIpnFfDMDLALFKGkT3WBqbXAT3e9Ntw2czPUdUI8Gyv3H8rJkfF3YvrtkobEfmunDgqK/j7bqCe4BJyrgYuU9WJOZr15fOfF48myZxOVN8T6opINXAv8BFgtdeV9R2OH5uZ2u/FWcV8gsd9L7ArySJTr6ovykDWYZwC49M8Q53ZznnvDMsAEJGTcVayN+ESjzcCf2b26+EATnntCOxTg6rWee2tm+OcD4nIlbPsX/J5NQwjA+wGMozs8UYROcnzF3o38GWvvB73IjziLXtv0nr9nKg4fQtoEZG3ek7G9SJyTioCqOpFnm/NTL+LAlU/DWwBXux1lx1DRM4Rkc0iUiYiK3DdUver6qBX5WbgdSJyqmdte4cns7/+bnGJkGeiH1jvWcMAqnDZ2QeASc869YRcdUncDbxTnBP/GgLWNOC3QEKcc/oSESkXkdPF5QKbaftz8QjwKhGpFOfQ//IZ6rxHRGpFpAPn3+Wf86CMJwFvDqyzFKfEDIBztgdODyzvB04SkSoAVZ3GKV4fE5FV3jprROQF3vLH5zjndX7qoBTOq2EYGWCKlGFkjztx/j07cV1zfgLY/8L5ER0AHsA5kQf5OPBycSO8PuF1szwPeDGuG287zqk5K3gWkdfjHJf7ZrBcnOrJmMBZSsY47vuDqn4BuBV4ENdlNQb4I+OqgBXefs7EPd7/QRH5vbevb8EpHoeBK3AO9HPxb8A+3EjDHwFf8WTA6yq92Nu3Xbhj/jmcU/cTtj/Pdt6DcxY/jHMIv3OGOj8DduAGA3xEVX/glb8Pd2x24a6J2/wVVLUL+CjwG5zS9CTgV4E2f4Jz/O8TkQNe2du97TwgInFvvzfPI38yc55XwzAyw3LtGYaRNUTkXOCNqpq3F7SI/B3wKlWdy4E/29tcj1OSKtP1TTMMo7Qwi5RhGFlDVX+ZayVKRFpE5FleF9VmnA/a13K5TcMwjNmwUXuGYRQbVcD/AqcAR3AxtT6VSUMiMjTLootUNVcj/QzDKCGsa88wDMMwDCNDrGvPMAzDMAwjQ6xrzwBg5cqVun79+rDFMAzDKCoefvjhA6raFLYcRniYImUAsH79eh566KH5KxqGYRjHEJE989cyShnr2jMMwzAMw8gQU6QMwzAMwzAyxBQpwzAMwzCMDDFFyjAMwzAMI0NMkTIMwzAMw8gQU6SKBBFpFJGviEhURLpF5BkislxEfigi273/ZV5dEZFPiMgOEXlURM4KW37DMAzDKEVMkSoePg58T1XbgDOAbuAdwI9V9TRc9vl3eHUvAk7zftcBn86/uIZhGIZR+lgcqSJARBqAZwPXAKjqODAuIpcC53vVbgHuB94OXArcqi7/zwOeNatFVXuzLdvtD+whFh/NdrNGCRAZ3U9H7NsI4aehqt90Hh3PfmnYYhQE9z2yn/NOa2L50qqwRQmdP+49ws+2DXD1M9fTsKQybHGMIsUUqeLgFGAAuFlEzgAeBq4HVgeUoz5gtTe9BtgbWH+fV3aCIiUi1+EsVqxbty4jwe55aC+P7h/MaF2jtHlfxc08o/yHTKuEKkeZKFP7bobl03D6ZaHKEjZ7D41w/V2PcMPzNvGWC04LW5zQ+dm2AT72o21ce+4pYYtiFDGmSBUHFcBZwJtV9UER+TjHu/EAUFUVkbQ+/VX1s8BnAc4+++yMzAb3vencTFYzFgM3fwqmz6Hs2h+EKsZnfvgnnvKLv+FpX70OqayFzReFKk+Y/Nn76In2xUOWpDCI9sU5eXktS6vtVWhkjvlIFQf7gH2q+qA3/xWcYtUvIi0A3n/MW74fWBtY/ySvzDDygyrEuqCpLWxJ2Lx2NdeO/yPDy9rh7qvhsZ+GLVJodPY4BSramwhZksIg2ptgc3N92GIYRY4pUkWAqvYBe0Vks1d0AdAFfAO42iu7GrjPm/4G8Fpv9N7TgcFc+EcZxqwMxeDoIVjVHrYktLdGGKKWr5/+37BiI9x1BTz+QNhihUJnj7NI7To4zNHxqZClCZej41PsPjhMW3MkbFGMIscUqeLhzcAdIvIocCbwQeAm4Hkish240JsH+A6wE9gB/B/w9/kX11jUxLrc/6ot4coBrKqvZmVdFY8cEHjt1yHSCne8AnoeCVu0vNPVG6dhSSWqsD22uK1S22MJphW2tJhFylgYpkgVCar6iKqerapPVtWXqOphVT2oqheo6mmqeqGqHvLqqqq+UVU3qOqTVPWhsOU3FhkDUfdfABYpEaG9tcF1a9WtgtfeBzWNcNtLIdYdtnh548DQGP3xMV58Rgtg3Xv+/ptFylgopkgZhpF9Yl1QuxLqmsKWBICO1gjb+xOMTU5Bw0lw9X1QXgW3XgoHHwtbvLzg+0dddHoLSyrL6V7kDufdfXGWVJazbnlt2KIYRY4pUoZhZJ9Yd0F06/m0t0SYnFa29w+5guWnOsvU9KRTpo7snbuBEsD3j+pojbCpud4sUr0JNjXXU1YWbngOo/gxRcowjOyiWnCKVEer677p6glYYVa1wVVfg9G4U6YS/SFJlx+6euKsaVxCY20VW5rrifbFcTF7Fx+qSrQvzhYbsWdkAVOkDMPILoN7YXyooBSp9SuWsrSq/JhV5hgtZ8CV90CiD257CYwcCkfAPNDVEz+mULY113N4ZIKBxFjIUoXDQGKMwyMTtJkiZWQBU6QMw8guscJxNPcpKxO2tESO+QmdwLpz4NVfcr5St70URksvUv/w2CS7Dg7T0doAQFuLU6i6+xZn956/3/5xMIyFYIqUYRjZxQ99UADBOIO0t0bo7o0zPT1Dd9apfwmvvA36/wx3vhLGh/MvYA7p7o2j6o4BcMwSE+1dnA7n/n6bRcrIBqZIGYaRXWLdUN8KSxrDluQEOlojDI9PsefQyMwVNr0AXvZ/sPdBuOtKmCidZNxdnuLgd+011lbRHKkhukgtUtG+BM2RGhprLXGzsXBMkTIMI7vEugrKP8rH79Z6gp9UkNNfBpd8Enb+FL7y1zA1kSfpckvn/jjLaitpaag5VtbWUr+oFak2C8RpZAlTpAzDyB7TU3BgW0EqUqetrqOiTGb2kwrylCvhRR+Brd+Gr73B7VOR09k7SEdrAyLHh/q3NUfYEUswMTUdomT5Z2Jqmh2xhAXiNLKGKVKGYWSPw7thcrSgHM19qivK2biqbn5FCuBpfwsX3gh//gp883qYLl5lY2Jqmm19Q8e69Xy2tNQzMaXsHCgtf7D52DkwzMSUWmoYI2uYImUYRvYooBx7M9HR2nBiLKm5OPcf4Nn/BH+4Db7/LhcfqwjZERtifGr6mKO5z2bf4XyRRTj393ezOZobWcIUKcMwsoefu65pc7hyzEJHa4QDQ2PE4ik6kj/n3fD0v4cHPw0//UBuhcsRvgUu2SJ16so6KsuF7kUW4Tzal6CyXDh1ZV3YohglQkXYAhiGUULEumDZeqhaGrYkM+IrE509cVZFauapDYjACz7oAoz+/D+gshbOuyHHUmaXzp5BllSWc0qS4lBVUcaGpjq2LjaLVG+cDU11VFWYHcHIDnYlGYaRPWLRgvSP8tlyTJFKI+imCFz8X/CkV8CP3wcPfjZH0uWGzp44bS31lM+QU25LS2TRjdyL9iXYYoE4jSxiiog/t5sAACAASURBVJRhGNlhchwObi9Y/yiASE0l65bXHourlDJl5fCST8Pmv4Lv/hP84fbcCJhlVJXunjjtsygObc319A6OcmRkPM+ShcORkXF6B0ctEKeRVUyRMgwjOxzcAdOTBW2RAte9l9LIvWTKK+EVN8OG58I33gx//mr2hcsyew8dJTE2eSyGVjLHHc4Xh1XK309zNDeyiSlShmFkhwJNDZNMR2uEPQdHiI9mEGyzohpeeQesPQe++rew9XvZFzCL+F2YyY7mPn4X19ZFokj5+2lde0Y2MUXKMIzsEOsGKYeVp4UtyZz4YQCimY5Wq6qFK74MzU+Cu18LO+/PnnBZprMnTnmZzGqBWVVfzbLaykUTAiHa5yK8r6qvDlsUo4QwRcowjOwwEIUVG53VpoBJKVXMfNQ0wGu+Cis2wJdeDY8/kCXpsktXb5wNTUupqSyfcbmI0NYcWTQhELp7XUTzYIR3w1gopkgZhpEdCjTHXjKr6qtZWVeVmZ9UkNrlcNXXob4F7ngF9DySHQGzSGfP4Kz+UT6bm+vZ2pdgero4A46myvS0stVy7Bk5wBQpwzAWzvgIHNpV8I7m4Kww7a0NC1ekAOpXw2vvcxaq2156PCBpAXBgaIz++Nis/lE+W1rqOToxxeOHRvIkWTg8fmiEoxNTNmLPyDqmSBmGsXAObAUUVhW2o7lPe4tL2Ds+mYUceo1rnTJVXgm3vgQOPrbwNrOArygmp4ZJxk/eW+oj9/z9s2TFRrYxRcowjIXjW2KKwCIFbhTbxJSyrT9LysOKDU6ZmhqHWy+FI3uz0+4C8HMKzhZDymfT6npESj/nXrQvjojbX8PIJqZIGYaxcGLdUF4Ny04JW5KU8Lu7Uk5gnAqrtsBVX4PRQadMJfqz13YGdPYMsqZxCY21VXPWW1JVzikrlmY+irFIiPYmOGXFUpZUzex4bxiZYopUkSAiu0XkTyLyiIg85JUtF5Efish273+ZVy4i8gkR2SEij4rIWeFKb5Q8sW5o2gTlxZG+c/2KpSytKl/YyL2ZaD0TrvwKJHrhtpfAyKHstp8GXT3xef2jfDY31y8Ki5QF4jRygSlSxcVzVPVMVT3bm38H8GNVPQ34sTcPcBFwmve7Dvh03iU1Fhex7qLp1gMoKxO2tETSTxWTCuvOgVd/yflK3f4yGM2/gjI8Nsmug8PzjtjzaWuOsOfQCCPjkzmWLBxGxifZc2jE/KOMnGCKVHFzKXCLN30L8JJA+a3qeABoFJGWMAQ0FgGjgxDfV/ARzZNpb43Q1RPPzbD/U8+Hy2+Bvj/BnZfD+HD2tzEH0b44qvM7mvu0tdSjCtv6h3IsWThs6x9CFQt9YOQEU6SKBwV+ICIPi8h1XtlqVe31pvuA1d70GiDo7brPKzsBEblORB4SkYcGBgZyJbdR6sSi7r+ILFLg/KSGx6fYk6th/5svgpd9FvY+CHddCZNjudnODPgj9lLt2tvij9zLhYWuAPD3a4tZpIwcYIpU8XCuqp6F67Z7o4g8O7hQVRWnbKWMqn5WVc9W1bObmpqyKKqxqBjwR+wVfjDOIFmJcD4fp18GL/4E7Pwp3PM6mMogv18GdO53qVBaGmpSqn/SsiXUVpWXbAiEaF+CpVXlnLRsSdiiGCVIcXiGGqjqfu8/JiJfA54G9ItIi6r2el13Ma/6fmBtYPWTvDLDyD6xbqiqg4a189ctIE5bXUdFmdDVE+fiJ7fmbkNnXQUTI/Ddf4b3rwRyn57kQ95P3jfDwvJKuPBGeMYbjxWVefn4ukvUItXdG2dTcz1lZZYaxsg+pkgVASKyFChT1YQ3/Xzg34BvAFcDN3n/93mrfAN4k4jcBZwDDAa6AA0ju8S6oGkzlBWXgbu6opyNq+qyE+F8Ps55vUsl0/ennG9qSpVP3/8YZ65t5NyNK59YYf9D8P13Qe1KOOOVx4rbmiN898+9qGpJ5aJTVbb2J7jodHMTNXKDKVLFwWrga97DrQK4U1W/JyK/A+4WkWuBPcDlXv3vAC8CdgAjwOvyL7KxaIh1w6YXhC1FRnS0NvCzbXnyD2y/xP1yzLbeOB/54S/4+NPOhDOf4BrpfLVuvwzu+3uoa4INzwVcqpgv/fZx+uNjNKfYJVgM9MfHODIywRZzNDdyhClSRYCq7gTOmKH8IHDBDOUKvDG53DCyzvABGB4oOkdzn47WCPf+fh+x+CirIqWhPMzraF5RDa+6A25+EXz5Krjm29B65rHQAN198ZJSpLq9+FgW+sDIFcVlizcMo7CIFaejuY+vbHSWkG9QZ88gNZVlnLKybvZKNQ0ucOiSZXDHK+DQLjZ7qVNKLcK5vz+bLTWMkSNMkTIMI3OKLMdeMltykSomZLp64rQ1Ryifz7E60gKvudflB7z9Mhp0kNaGGraWWITzaF+c1oYaGmorwxbFKFFMkTIMI3NiXVDTCHWr569bgERqKlm3vDa3IRDyiKrS1Zt6ahiaNsMVd0N8P9x5OU9eXVlyIRC29iVomydxs2EsBFOkDMPIHD81TBGP8upojeRn5F4e2HvoKInRyZRTwwAupc1ln4eeP/BP8ZvYFRtkfHI6d0LmkfHJaXbEhmizHHtGDjFFyjCMzFD1FKni9I/y6WiNsOfgCInR/ATLzCW+ZS1li5TPlovhRR9hw5Ff8b6yz/FYrDSsUo8NDDE5rWaRMnKKKVKGYWRGohfGBotekfLz0XWXgJN1V2+cci+4Zto89VoO/sX1vKrifvjZh7IuWxhEj43YM4uUkTtMkTIMIzNiXe6/SB3NffKSKiZPdPbE2dC0lJrK8ozWj1z0Xu6ZPp8tWz8ND30hy9Lln2hfgqryMk5ZuTRsUYwSxhQpwzAyo8hDH/isqq9mZV1VSfhJdfYMpucflURlRTm3Ln8rj9Q8Db79Noh+O4vS5Z9ob4KNq+qoLLdXnZE77OoyDCMzYt1utF7t8rAlWRAiQntrQ9GHQDgwNEZ/fCx9/6gkTmtdxvVT10PrU+Arfw2PP5glCfNPtC9Om0U0N3KMKVKGYWRGrKvorVE+7S0RtscSRT1azVcE2xfoWN3WXM+ehHDkJbdDZA186ZUwsC0bIuaVQ8Pj9MfH2GIRzY0cY4qUYRjpMz0NA1uL3j/Kp6M1wsSUsq2/eB3O/a7J9gVapI6liolXu4CdZZVw+8sgXlx5z31H84wc7w0jDUyRMgwjfY7sgYmRkrFIdZRAhPPOnkHWNC6hsbZqQe34XWHRvjgsPwWuvAeOHoY7Xg6jxeOQv9ULLGpde0auMUXKMIz08R3Nm0pDkVq/Yim1VeV0FXHOva6eNCKaz0FTXTUrllYdz7nXeiZcfisMROGuK2FybMHbyAfR3gQrllbRVFcdtihGiWOKlGEY6eOHPmjaHK4cWaKsTNjSEinaEAjDY5PsOji84G49cM73m5vrj3WNAbDxArj0f2D3L+Drf+e6dgsc39FcijjqvlEcmCJlGEb6xLqhYR3UlI4jb0drhK6eONPTGrYoaRPti6PKgkIfBGlrjrC1P8FU8Fic8Sq48Eb4873ww/dkZTu5Ympa2dqfYPPq0rk+jcLFFCnDMNJnIFoy/lE+Ha0Rhsen2HNoJGxR0sZ3NM9G1x44v6LRiWkeTz4Wz3orPO318JtPwq8/mZVt5YI9B4cZnZg2/ygjL5giZRhGekxNwIFtJahIOWtOMTqcd+6Ps6y2kpaGmqy054cMiCb7jInACz8E7ZfCD94Nf/pKVraXbXxHcwt9YOQDU6QMw0iPQztharzkFKnTVtdRUSZF6SfV1RunvTWSNX+g01bXUSbQ3TdDOIiycnjpZ+Hkc+Frb4Cd92dlm9mkuy9Bmbj9MIxcY4qUYRjpcSzHXmkpUtUV5WxcVVd0qWImpqbZ2pfImn8UQE1lOetXLn2iRcqnsgZedQesPA3ueg30Ppq1bWeDaG+cU1ZmnnPQMNLBFCnDMNIj1g1SBis3hS1J1ulobSg6RWpHbIjxqems+Uf5bPEczmdlSSNc+RU34OCOl8PhPVnd/kKI9iWOBRY1jFxjipRhGOkR64blp0LlkrAlyTodrREODI0RS4yGLUrKZNvR3KetuZ49B0cYHpucvVLDGhf9fHIUbr8MRg5lVYZMGB6b5PFDI7RZRHMjT5giZRhGesS6S65bz8ePw1RMVqnOnkFqKss4ZWV2/YHavJx9c1qlwF0Lr74LjjwOd74SxsMd9ejL27bAnIOGkSqmSBmGkToTo3DosZKJaJ5MexGmiunqidPWHKG8LLuBJ32LzrEI53Nx8jPhss/Bvt/BvdfC1BxWrBzjy2sWKSNfmCJlGEbqHNgGOl2yFqlITSXrltcWzcg9VaWrNzupYZJZ07iEuuqKEyOcz0X7JfCi/4Ct34HvvA00nMCm0b44ddUVnLSs9LqejcLEFKkiQUTKReQPIvItb/4UEXlQRHaIyJdFpMorr/bmd3jL14cpt1Fi+Dn2VrWHK0cO8SOcFwN7Dx0lMTqZ1RF7PmVlfqqYFCxSPk/7Wzj3Bnj4i/Czf8+6TKkQ7U2wudlSwxj5wxSp4uF6oDsw/2HgY6q6ETgMXOuVXwsc9so/5tUzjOww0A1llbBiQ9iS5Iz2lgi7D46QGJ0IW5R58S1n2cixNxNtzfVEe+NoOtalC/4VzrgC7v8gPHxLTuSaDVV1OfasW8/II6ZIFQEichLwV8DnvHkBngv4YYVvAV7iTV/qzeMtv0Ds08zIFrFuF/agvDJsSXJGxxqnlHSn4hsUMl29ccrLJGeKQ1tLhPjoJL2DaYxiFIFLPgEbL4Rv/QNs/V5OZJuJ3sFR4qOT5mhu5BVTpIqD/wL+GfBTrq8Ajqiq79G5D1jjTa8B9gJ4ywe9+k9ARK4TkYdE5KGBgYFcyW6UErEuWNUWthQ5xe8mKwY/qc6eOBuachd48pjDeap+Uj7llfCKW6DlyXDPNbD3d9kXbgZ8ObeYRcrII6ZIFTgicjEQU9WHs922qn5WVc9W1bObmpqy3bxRaowNuSHuJepo7rOqvpqVdVVF4SfV2TOYE/8on83HFKkMrHPVdXDFPVDfDHdeDge2Z1m6J+JbETeZImXkEVOkCp9nAZeIyG7gLlyX3seBRhGp8OqcBOz3pvcDawG85Q3AwXwKbJQoA1vdfwk7mgOICFtaIgUfS+rA0Bj98THac9iNFampZE3jktRCIMxEXZML2CllcPvLINGfXQGTiPYlWNO4hEhN6XY9G4WHKVIFjqq+U1VPUtX1wKuAn6jqlcBPgZd71a4G7vOmv+HN4y3/iablKWoYs1CiOfZmoqO1ge2xBOOT0/NXDomuHEU0T2ZLS336XXtBVmyAK++G4QMulcxo7hTUrX1xtrSYNcrIL6ZIFS9vB24QkR04H6jPe+WfB1Z45TcA7whJPqPUiHVDxRJoXB+2JDmnozXCxJSybb6o3iHiW8xyNWLPZ3NzPY8NDDM2OZV5I2v+Ai6/Ffo74e6rYHI8ewJ6jE1O8djAsOXYM/KOKVJFhKrer6oXe9M7VfVpqrpRVV+hqmNe+ag3v9FbvjNcqY2SIdYFTZuhrPQfG76Vp6u3cLv3OnsGWdO4hMbaqpxup605wtS0siM2tLCGTnseXPLfsPN+uO+NMJ1da9+O2BBT00qbWaSMPFMxfxXDMAycRWrDc8OWIi+sX7GU2qrygnY47+qJ59waBRzrKtval1i4Y/tTroREL/zk/bC0Cc66KgsSOvZv6+c02ceTq1ZDLM0RlytOg3J7HRqZYVeOYRjzM3IIhvoWhX8UuKjezuG8MEMgDI9NsuvgMJec2Zrzba1fsZSqirLMRu7NxHlvc8rUA//jflni+cDzq3FDctLln3dB7fKsyWIsLkyRMgxjfgai7r/ER+wF6WiNcO/D+5ieVsqynBB4oUT74qiS09AHPhXlZWxaXUd3tro5ReCif4fNF8FY9nzQ/vsnOxgam+SdF2UQ56yqLmtyGIsPU6QMw5ifRTRiz6ejNcKtv5ni8UMjrF+5NGxxTqAzTyP2fDavjvDz7VkM2ltW7iKfZ5Fbv/4j/nJTE3SckdV2DWM+St9r1DCMhRPrhuoIRHLflVQotLf4Ec4Lz0+qc3+cZbWVtDTU5GV7W1rqGUiMcXBoLC/bS5cDQ2MMJMYsx54RCqZIGYYxP7FuZ41aRGkbNzXXUVEmBekn1dXrHM3zlUbTDymwNVt+UlnGl8tCHxhhYIqUYRhzo3pckVpEVFeUs3FVXcFZpCamprMzgi4N/JAC3QWqSPmO8Bb6wAgDU6QMw5iboRgcPbSoHM19OlobCi6W1I7YEONT03nzjwJYWefyD0YL7Fj4RHvjnozVYYtiLEJMkTIMY24WoaO5T3trhIHEGLHEaNiiHCPfjuY+bc2R7IVAyDLRvoSlhjFCw0bt5RkRaQL+FlhP4Pir6l+HJZNhzEms2/03LT5FyldWOnvirNqcH8fu+ejqiVNTWcYpK/M7ZL+tuZ7bHtjD1LRSXkDhICanptnWn+Cqp58ctijGIsUsUvnnPqAB+BHw7cDPMAqTWBfUroS6prAlyTt+5PBCinDe2TNIW3Mk78pMW0uEsclpdh8czut252P3wRHGJqdpazFHcyMczCKVf2pV9e1hC2EYKTMQXZTdegCRmkrWLa8tGEVKVenqjXPJGfkPQ+GHFoj2JtjQVDgBLI+P2LOuPSMczCKVf74lIi8KWwjDSIljI/YWn6O5T3sBpYrZe+goidHJvI7Y89m4qo7yMiHaVxhKpU+0L055mbBxVeEod8biwhSp/HM9TpkaFZGE9yusJ5Nh+AzuhfEhWJVB2o0SoaM1wu6DIyRGJ8IWha5ep9DlI1lxMjWV5ZyycindvYXlcN7dm+DUlUupqSwPWxRjkWKKVJ5R1XpVLVPVGm+6XlWtc98oTHxH80VskepY427PQlAgOnuc9SWsbqy25nq29hfWd1+0L85m69YzQsQUqRAQkUtE5CPe7+Kw5TGMWfFDHzQtZouU60brKoDuvc6eOBuawrO+bGmJeN2L4VvnABKjE+w7fJQt5mhuhIgpUnlGRG7Cde91eb/rReRD4UplGLMQi0JkDSxpDFuS0FhV74JRFkKE886ewVD8o3w2r3aWn2394Vvn4Lgc5mhuhIkpUvnnRcDzVPULqvoF4IXAX4Usk2HMTKxr0Y7Y8xERtrREQlekDgyN0R8foz1E68uxVDEF0M0Jx+Ww0AdGmJgiFQ7Bz/vwPi8NYy6mp2Bg66Lu1vPpaG1geyzB+OR0aDJ0hRTRPMiaxiXUV1cUTPLiaF+c+poKWhsKI1iqsTixOFL550PAH0Tkp4AAzwbeEa5IhjEDh3bB1NiidjT36WiNMDGlbI/lN1lwEN8iFsaIPR8Roa2lvmBCIER7E7Q11yNSOJHWjcWHWaTyjKp+CXg68FXgXuAZqvrlcKUyjBlYxDn2kgmmigmLzp5B1jQuobG2KjQZwMu515tAVUOVQ1XZ2pegrdm69YxwMUUqT4hIm/d/FtAC7PN+rV6ZYRQWA1FAoGlz2JKEzvoVS6mtKg81wnlXbzxUa5TP5uZ6EmOT7D9yNFQ59h85SmJs8pjflmGEhXXt5Y8bgOuAj86wTIHn5lccw5iHWBcsWw9VS8OWJHTKynyH83BCIAyPTbLrwHAoqWGS2dJyPFXMSctqQ5Mj6juam0XKCBlTpPKEql7nTV6kqqPBZSJinpJG4RHrtm69AB2tEb76+/1MTytleU4YHO2Lo0qooQ98NnkhELb2J7iwfXVocvh+WhaM0wgb69rLP79OsewYIlIjIr8VkT+KSKeIvM8rP0VEHhSRHSLyZRGp8sqrvfkd3vL1Wd8Lo7SZHIODO0yRCtDRGmFobJLHD43kfdudBTBiz6e+ppK1y5fQ3Ruuw3m0L8Ha5UuoqzZ7gBEupkjlCRFpFpG/AJaIyFNE5Czvdz4wn318DHiuqp4BnAm8UESeDnwY+JiqbgQOA9d69a8FDnvlH/PqGUbqHNwB05M2Yi9Ae4uzBoXhcN7VE6extpKWAhnmv3l1hGjIIRCi5mhuFAimSOWPFwAfAU4C/hPnK/VRnO/Uu+ZaUR1D3myl9/P9qr7ild8CvMSbvtSbx1t+gdj4YCMdjuXYM4uUz6bmOirKJBQ/qc6eOB2tkYIZ5r+lpZ5dB4YZnZgKZfujE1PsHBhii3XrGQWAKVJ5QlVvUdXnANeo6nMCv0tU9avzrS8i5SLyCBADfgg8BhxR1Umvyj5gjTe9BtjrbXcSGARWzNDmdSLykIg8NDAwsOB9NEqIWDeUVcCK08KWpGCorihn46o6uvLcpTUxNc3WvvDiV81EW3OEqWllR2xo/so5YEdsiGm1iOZGYWCdy3lGVe8Vkb8COoCaQPm/zbPeFHCmiDQCXwMWHG5aVT8LfBbg7LPPDjcojFFYxLph+QaoCDdmUaHR0drAz7fn96NjR2yI8anpgvCP8vFDDkT7Epy+Jv8Knu+fZY7mRiFgFqk8IyKfAV4JvBkX2fwVwMmprq+qR4CfAs8AGkXEV4ZPAvZ70/uBtd72KnBpaA5mQ35jkWA59makvTXCQGKMWGJ0/spZwo9dFWaOvWTWr1hKdUUZ0ZAczrf2JaiuKGP9CgvNYYSPKVL555mq+lqcM/j7cArRprlWEJEmzxKFiCwBngd04xSql3vVrgbu86a/4c3jLf+Jhh2G2Cgexkfg8G5zNJ+BMCKcd/bEqaks49Smurxtcz7Ky4RNq+tDcziP9iXY3FxPeZ7DUBjGTJgilX/8T9kREWkFJnCRzueiBfipiDwK/A74oap+C3g7cIOI7MD5QH3eq/95YIVXfgOWy89IhwNbATWL1Az4kcXzGeG8s2eQtuZIwSkNbc3h5dyL9sVps249o0AwH6n8803PuvQfwO9xo+/+b64VVPVR4CkzlO8EnjZD+Siuy9Aw0ufYiD2zSCUTqalk3fLavClSqkpXb7wgIpon09YS4Z6H9zGQGKOpvjpv2x1IjHFgaJzNFvrAKBBMkcojIlIG/Njzc7pXRL4F1KhqOHknDGMmYl1QXg3LTwlbkoKkPY+pYvYdPkpidLIgcuwl44ce2NqXyKsi5VvBLPSBUShY114eUdVp4H8C82OmRBkFR6wbmjZBWXnYkhQkHa0Rdh8cITE6kfNt+QpbIYU+8PFHzOW7e2+r55dlI/aMQsEUqfzzYxG5zAJkGgVLrNu69eagY42zDuXD0bqzJ055mRSkP9CKumqa6qvp7s2vw3l3b4JV9dWsqMufFcww5sIUqfzzeuAeYExE4iKSEJFwk1YZhs/oIMT3m6P5HPjWoc79uTcmd/bE2dC0lJrKwrQOtjXXs7U/v4+vaF/cAnEaBYUpUnlGVetVtUxVq1Q14s3bU8EoDGJR928WqVlZVV/NiqVVeQmB0NUTL6j4UclsaYmwrX+IyanpvGxvcmqa7bGhgrTQGYsXczbPMyLy7JnKVfXn+ZbFMJ5ArMv9Ny04cH7JIiK0t0ZyrkgdHBqjLz5akP5RPm3N9YxPTrP74DAbV+Veudl9cJjxyWlTpIyCwhSp/PNPgekaXPiCh3EJiA0jXGLdUFUHDWvDlqSg6Wht4PO/3Mn45DRVFbkx7PuKWiGlhknGd/ju7k3kRZHy/bHaLPSBUUBY116eUdUXB37PA04HDoctl2EAMNDtrFFl9miYi47WCBNTyvZY7hytfUWqEEMf+GxcVUd5meRt5F60L05FmbBhlaWGMQoHe1qGzz7APHuNwiDWbY7mKdCeh1QxXb1x1jQuobG2cBNHV1eUs6Fp6bGQBLkm2ptgQ1Md1RWF6XxvLE6say/PiMh/46KZg1Nkz8RFODeMcBkagOEBczRPgVNWLKW2qjynEc47ewYL2hrl09Yc4eE9+TGqR/sS/MXJy/KyLcNIFbNI5Z+HcD5RDwO/Ad6uqq8JVyTDwHXrAawyR/P5KCsTtrREcqZIDY9NsuvAcEH7R/m0tdSz/8hR4jkOUBofnWD/kaO0tZijuVFYmEUqz6jqLSLS5E0PhC2PYRzDcuylRUdrhK/+fj/T00pZlhMKR/viqBZmRPNk2gKpYp66fnnOtuN3H24xR3OjwDCLVJ4Qx40icgDYCmwTkQER+dewZTMMwClSS5ZB3eqwJSkK2lsiDI1N8vihkay33VUEjuY+/gi6XEd6j/a6Y2IWKaPQMEUqf/wD8Czgqaq6XFWXAecAzxKRfwhXNMPgeGoYy16UEscinOege6+zJ05jbSWtDTVZbzvbtDTUEKmpOKbo5IruvgSRmgqaI4V/TIzFhSlS+eMq4NWqussvUNWdwGuA14YmlWEAqNqIvTTZ1FxHRZnQ1Zv9VDGdPXE6WiMUQ0pOEaGtJZIXi1RbS3EcE2NxYYpU/qhU1QPJhZ6fVGUI8hjGceI9MDZoEc3ToLqinI2r6rJukZqYmmZrX6Io/KN82prr2dqXYHpa56+cAdPTyrb+IbZYRHOjADFFKn+MZ7jMMHKPOZpnRC5SxTw2MMT41HRB59hLpq3Z+YvtP3I0J+3vP3KUobFJS1ZsFCSmSOWPM0QkPsMvATwpbOGMRc6x0AfWtZcOHa0NDCTGiCVGs9Zm5/7CTw2TjO8AnqvuvW7f0dwsUkYBYopUnlDVclWNzPCrV1Xr2jPCJdYNdc1Qm7vh66WIr+xkM55UZ0+cmsoyTm2qy1qbuWbzak+RypHDua+gbVptipRReJgiZRgGxLrMGpUBuUgV09kzSFtzhPIsx6bKJUurKzh5RW3OLFJb+xKcvKKWpdUW+tAoPEyRMozFzvQ0xKKmSGVApKaStcuXZM0ipap09caLIn5UMptX19Odo+TF3X1x69YzChZTpAxjsXNkN0weNUUqQzpaGujsyU4IhH2Hj5IYnSwq/yiftpYIuw8MMzoxldV2j45PsfvA8LHAn4ZRaJgiZRiLnVjU/duIvYzoaI2w++AIQ2OTC27LV8iKKfSBz5bmeqYVtvcPZbXda1o4+AAAFJ5JREFU7bEE02qO5kbhYoqUYSx2Yl3uv2lzuHIUKR1rnKWkOwuO1p09ccqkOJUGPzRBtrv3or2JE9o3jELDFKkiQETWishPRaRLRDpF5HqvfLmI/FBEtnv/y7xyEZFPiMgOEXlURM4Kdw+MgibWDY3roLr4Xt6FQHuLlypm/8K797p64mxoqqOmsnzBbeWbdctrqaksO6b4ZItoX4IlleWsW16b1XYNI1uYIlUcTAJvU9V24OnAG0WkHXgH8GNVPQ34sTcPcBFwmve7Dvh0/kU2ioZYNzSZf1SmrI5Us2JpFV1ZskgVo38UQHmZsHl1PdFsW6T64mxqri+qUYzG4sIUqSJAVXtV9ffedALoBtYAlwK3eNVuAV7iTV8K3KqOB4BGEWnJs9hGMTA1AQe2maP5AhCRrEQ4Pzg0Rl98tCj9o3zaml3OPdXspIpRVbp745YaxihoTJEqMkRkPfAU4EFgtar2eov6gNXe9Bpgb2C1fV5ZclvXichDIvLQwMBAzmQ2CphDO2F6whzNF0hHawPb+hOMT05n3IaviBWrRQpchPNDw+MMDI1lpb2BxBiHRybYbIqUUcCYIlVEiEgdcC/wVlU94fNX3SdgWp+BqvpZVT1bVc9uamrKoqRG0eA7mptFakG0t0aYmFK2xzL3D/IVqWKMIeXjhyjIlp9Utxfg00IfGIWMKVJFgohU4pSoO1T1q15xv99l5/3HvPL9wNrA6id5ZYZxIrFukDJYuSlsSYqabKSK6eqNs6ZxCY21VdkSK+/4ow2z5Se1tc9y7BmFjylSRYCICPB5oFtV/zOw6BvA1d701cB9gfLXeqP3ng4MBroADeM4sS5YfipU1oQtSVFzyoql1FaVL8hPqrNnsKitUQDLllaxOlKdtVQx0d4EzZEali0tXuXSKH0scVFx8CzgKuBPIvKIV/Yu4CbgbhG5FtgDXO4t+w7wImAHMAK8Lr/iGkVDrNu69bJAWZmwpSWSsUVqeGySXQeGueSM1ixLln/amiNZ7dprazFrlFHYmCJVBKjqL4HZxv5eMEN9Bd6YU6GM4mdi1Dmbn35Z2JKUBO0tEb72h/1MTytlaQ7Vj/bFUXVtFDttLfX85rGDTExNU1meeafHxNQ0O2IJnr1pZRalM4zsY117hrFYObANdNosUlmiozXC0Ngkew+PpL2ub8nqWFO8oQ982prrGZ+aZteB4QW1s+vAMBNTyhZzNDcKHFOkDGOxEut2/xaMMyv48Z8y8ZPq7InTWFtJa0Px+6r5I+wWmjLHX9+69oxCxxQpw1isxLqgrBJWbAhbkpLgtNV1VJTJscTD6eBHNHfjSoqbDU3uOGxdoMN5tC9BZblw6sq6LElmGLnBFCnDWKzEul3Yg/LKsCUpCWoqy9m4qi5ti9TE1DRb+xJFHdE8SFVFGRtX1S145F601+UdrKqw15RR2NgVahiLlQEbsZdt2lvTH7n32MAQ41PTJeFo7tPWXE90gV170b6ExY8yigJTpAxjMTKWgCOPmyKVZTpaG4glxhhIpJ4ipXN/8aeGSWZzc4SewVEGRyYyWn9wZILewVHaSki5NEoXU6QMYzEysNX9myKVVXxlKB0/qc6eODWVZZzaVDq+QL6D+Nb+zLr3ohbR3CgiTJEyjMWI5djLCe3HFKnUu7U6ewZpa45QnmbsqULGD1mQaaoY379qi1mkjCLAFCnDWIzEuqFiCTSuD1uSkiJSU8na5UvoStE/SFXp6o0XfWqYZFZHqmmsraQ7wwjn0T4XDmJVfXWWJTOM7GOKlGEsRmLdsKoNyuwRkG06WhpSdjjfd/goidHJkvKPAhARNq+uz9gi1d3rHM1LIRyEUfrYU9QwFiOxbljVHrYUJUlHa4RdB4YZGpuct67vS1UqoQ+CbGmJsLUvwfS0prXe9LSyrT9xLLCnYRQ6pkgZxmJj5BAM9UFTW9iSlCQda1KP7N3ZE6dMStOpuq25npHxKfYdPprWensPjzAyPsUWi2huFAmmSBnGYsNPDWMWqZzQ3uKsS6l073X1uKCTNZXluRYr7/ihC7rT7N7z/arMImUUC6ZIGcZiw0bs5ZTVkWpWLK1KKQSCnxqmFNm0ug4RiKbpcB7tiyMCm1abRcooDkyRMozFxkAUqhsg0hq2JCWJiNDeGpk3BMLBoTH64qMl6R8FUFtVwcnLa9N2ON/al2D9iqUsqSo9K51RmpgiZRiLjZiXGsZGROWMjtYGtvUnGJ+cnrWOr2iVqkUKXPdcusmLLTWMUWyYImUYiwlV17W3yhzNc0l7a4SJKWVHbGjWOn6sqVKLIRWkraWeXQeHOTo+lVL9kfFJdh8cNv8oo6gwRcowFhND/XD0sDma55hUUsV09sRZ07iExtqqfImVd9qaI6jCthRTxWzrH0IVNptFyigiTJEyjMWEOZrnhVNWLKW2qnxOP6nOnsGStkbB8bAOqfpJRT0rnYU+MIoJU6QMYzERi7p/s0jllLIyYUtLZNYQCMNjk+w6MFzS/lEA65bXsqSyPOVUMdG+BLVV5axdVptjyQwje5giZRiLiVgXLG2CpSvDlqTkaW+J0NUbnzGyd7QvgaqrU8qUlQmbm+tTdjiP9sXZ3FxPWQklcDZKH1OkDGMxEeu2iOZ5oqM1wtDYJHsPjzxhWZefGmZNaYY+CLKlxeXcU507VYyqeiP2Slu5NEoPU6QMY7Gg+v/bu/fYus+7juPvj2+J41vixIlza5u1kZ10XdctjELRBHQV7QZ04qKuMBakSdVEYQOBoAMkVv5AFeIyJtBEKWWZNqXSymirUY1O2aRy6WBly7LGdtuslzSJneNc7TRpbv7yx/kd98R12nISn+f8fufzkqzzO885x+frX+z44+d5fs9TXkPKw3p1UVkfar55UrsPTLF0STtr+hbXu6y6Gx7s5ejJs5SmT7/p8w5OnebYybNe+sByx0HKrFkcfwXOnPBE8zrZuKqbthbNe+VeZUVzNcFaXpUr8N5q78HKVjIOUpY3DlI5IOlBSSVJz1S19Uv6hqTns9tlWbskfU7SHkm7JL0nXeXWULzHXl0tbm/lmpXdb5hwfvb8DM8enC78/KiKSjB6q3lSlcc9tGd54yCVD18Abp3Tdg+wIyI2Ajuy+wC3ARuzj7uAz9epRmt0s0sfeI5Uvcy3VcwPJ09w5txMYbeGmWvpkg5W9y1m7C2C1Nj4FGv6FtO3pL1OlZldHg5SORARTwJH5jTfDmzLjrcBH65q/2KUfRtYKml1fSq1hlYahd61sLg5foE3gmvX9FGaPs1k1fyg3fuLvzXMXMODPW85tDc2Mc1wk/TSWbE4SOXXqogYz44ngFXZ8Vrglarn7cva3kDSXZKelvT05OTkwlVqjaE04vlRdTbfCue7D0yxuL2Fdwx0pyqr7oYGe2d74uZz5twMe0onvKK55ZKDVAFE+briN7+2eP7X3R8RWyJiy8DAwAJUZg1j5jxMPucgVWebsh6WkaremJHx4wwN9tLaRGslbVrdw9nzwQuH5t978IVDJzg3E55obrnkIJVfBytDdtltKWvfD6yvet66rM2a2ZEX4fxpTzSvs77Odtb3d87Ok4oIRrIr9ppJZQL5xSacj2Urn2/y0J7lkINUfj0GbM2OtwKPVrV/LLt670bgeNUQoDUr77GXzLWr+2av3Nt39BRTr51ruiD1joEu2lt10a1iRiem6GhtYcOKrjpXZnbpHKRyQNJ24ClgSNI+SR8H7gNukfQ88IHsPsDjwAvAHuAfgN9IULI1mtIoIFgxlLqSpnPtml5ePPQqJ06fm50r1SxX7FW0t7Zwzcqei25ePDY+zdUru2lv9a8ky5+21AXYW4uIOy/y0M3zPDeAuxe2Isud0ggsuwo6vBlsvW3Oep/GxqcYOTBFi2BoVfPNBRoe7OGpHx6e97GxiSluutr7P1o+Of6bNQNvDZNM9VYxuw9McfVAN50drYmrqr/hwR4mpl7j2MkzF7QfffUMB6dOM7y6+cKlFYODlFnRnTsNh/d4flQiq3oXsbyrg90Hjs9uDdOMKmtEzV2Yc8wrmlvOOUiZFd3hPTBzzkEqEUlsXtPLf+45zMTUa003P6piU7a0wdichTkr86bcI2V55SBlVnSze+w5SKWyeU0v+4+dmj1uRgM9i1i2pP2NPVLj0/R3dTDQvShRZWaXxkHKrOhKI9DSBss3pq6kaVX3QjXr0J4khgd7GX3D0N4Uw4M9SM2zQKkVi4OUWdGVxmD5NdDWkbqSplUJT2uXdrJ0SfP+Owyv7uG5iWlmZsobMZyfCZ47eMLzoyzXHKTMis577CW3YXkXSzpam3ZYr2LTYC+nzp5n75GTAOw9cpJTZ897fpTlmteRMiuyM6/C0Zfg+ostRWb10NIi/vKXr2d9f3Ov41UJTGMTU1y1omt24rn32LM8c4+UWZFNPguEe6QawG3Xreada5vzir2KjSt7kJjdKmZ0YpoWldvN8spByqzIZq/Y82Kcll5nRysblnfNbl78bNYz1YwLlFpxOEiZFdnkKLQugv4NqSsxA8rDe5W1o8YmptnkieaWcw5SZkVWGoWBIWjxX/zWGIYHe3n5yElK06/x8uGTnh9luecgZVZkpVHPj7KGMjTYQwR87fvjs/fN8sxByqyoTh2Dqf0OUtZQKkN5j+7cX76/2kN7lm8OUmZFNTlWvvVEc2sg65Z10tXRyvf3Had7URtrl3amLsnskjhImRWV99izBtTSotnhvKHBHlpavDWM5ZuDlFlRlUahoxv61qeuxOwCw9lwnieaWxE4SJkVVWkEBobBm8Fag6kEKAcpKwIHKbOi8hV71qDet6GfjtYWfmRDf+pSzC6Z99ozK6ITk3DykCeaW0MaHuxl5E9/hrZW/y1v+efvYrMimvREc2tsDlFWFP5ONisi77FnZlYXDlJmRVQagc5l0L0ydSVmZoXmIGVWRKXRcm+Ur9gzM1tQDlIFJelWSc9K2iPpntT1WB1F+Io9M7M6cZAqIEmtwN8BtwGbgTslebJMs5g6AKenHKTMzOrAyx8U0/uAPRHxAoCkh4DbgZHL/k5f+fXXJzZbYzh7qnzrieZmZgvOQaqY1gKvVN3fB/zo3CdJugu4C+CKK66o7Z2WXgkxU9trbeFc/VOw9r2pqzAzKzwHqSYWEfcD9wNs2bIlavokt9x7OUsyMzPLFc+RKqb9QPVOteuyNjMzM7uMHKSK6TvARkkbJHUAHwEeS1yTmZlZ4Xhor4Ai4pyk3wT+DWgFHoyI3YnLMjMzKxwHqYKKiMeBx1PXYWZmVmQe2jMzMzOrkYOUmZmZWY0cpMzMzMxq5CBlZmZmViNF1LYOoxWLpEng5dR1XKIVwKHURTQIn4sL+XxcyOfjdZd6Lq6MiIHLVYzlj4OUFYakpyNiS+o6GoHPxYV8Pi7k8/E6nwu7VB7aMzMzM6uRg5SZmZlZjRykrEjuT11AA/G5uJDPx4V8Pl7nc2GXxHOkzMzMzGrkHikzMzOzGjlImZmZmdXIQcpyTdJ6Sd+SNCJpt6RPpa6pEUhqlfQ9SV9LXUtqkpZKeljSmKRRST+WuqZUJP1O9nPyjKTtkhanrqmeJD0oqSTpmaq2fknfkPR8drssZY2WPw5SlnfngN+NiM3AjcDdkjYnrqkRfAoYTV1Eg/gb4OsRMQxcT5OeF0lrgU8CWyLinUAr8JG0VdXdF4Bb57TdA+yIiI3Ajuy+2dvmIGW5FhHjEfHd7Hia8i/JtWmrSkvSOuBDwAOpa0lNUh/wfuAfASLiTEQcS1tVUm1Ap6Q2YAlwIHE9dRURTwJH5jTfDmzLjrcBH65rUZZ7DlJWGJKuAm4A/jttJcl9Fvh9YCZ1IQ1gAzAJ/FM21PmApK7URaUQEfuBvwD2AuPA8Yh4Im1VDWFVRIxnxxPAqpTFWP44SFkhSOoG/hn47YiYSl1PKpJ+FihFxP+mrqVBtAHvAT4fETcAr9KkQzfZ3J/bKYfLNUCXpI+mraqxRHk9IK8JZP8vDlKWe5LaKYeoL0fEV1PXk9hNwM9Legl4CPhpSV9KW1JS+4B9EVHppXyYcrBqRh8AXoyIyYg4C3wV+PHENTWCg5JWA2S3pcT1WM44SFmuSRLl+S+jEfFXqetJLSI+HRHrIuIqyhOJvxkRTdvrEBETwCuShrKmm4GRhCWltBe4UdKS7OfmZpp04v0cjwFbs+OtwKMJa7EccpCyvLsJ+DXKPS87s48Ppi7KGspvAV+WtAt4N/BnietJIuuVexj4LvADyv//N9X2KJK2A08BQ5L2Sfo4cB9wi6TnKffa3ZeyRssfbxFjZmZmViP3SJmZmZnVyEHKzMzMrEYOUmZmZmY1cpAyMzMzq5GDlJmZmVmNHKTMbEFIOl+1JMVOSW+6orikT0j62GV435ckrbjUz2Nm9nZ4+QMzWxCSTkREd4L3fQnYEhGH6v3eZtZ83CNlZnWV9Rj9uaQfSPofSddk7Z+R9HvZ8ScljUjaJemhrK1f0iNZ27clvStrXy7pCUm7JT0AqOq9Ppq9x05Jfy+pNcGXbGYF5iBlZgulc87Q3h1Vjx2PiOuAvwU+O89r7wFuiIh3AZ/I2u4Fvpe1/SHwxaz9T4D/iIhrgX8BrgCQtAm4A7gpIt4NnAd+9fJ+iWbW7NpSF2BmhXUqCzDz2V51+9fzPL6L8rYujwCPZG0/AfwiQER8M+uJ6gXeD/xC1v6vko5mz78ZeC/wnfLWcnTiDWnN7DJzkDKzFOIixxUfohyQfg74I0nX1fAeArZFxKdreK2Z2dvioT0zS+GOqtunqh+Q1AKsj4hvAX8A9AHdwL+TDc1J+kngUERMAU8Cv5K13wYsyz7VDuCXJK3MHuuXdOUCfk1m1oTcI2VmC6VT0s6q+1+PiMoSCMsk7QJOA3fOeV0r8CVJfZR7lT4XEcckfQZ4MHvdSWBr9vx7ge2SdgP/BewFiIgRSX8MPJGFs7PA3cDLl/sLNbPm5eUPzKyuvDyBmRWJh/bMzMzMauQeKTMzM7MauUfKzMzMrEYOUmZmZmY1cpAyMzMzq5GDlJmZmVmNHKTMzMzMavR/gDhyM0lC6fkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dqn_with_defender = learner.epsilon_greedy_search(\n",
    "    cyberbattle_gym_env=cyberbattlechain_defender,\n",
    "    environment_properties=ep,\n",
    "    learner=dqla.DeepQLearnerPolicy(\n",
    "        ep=ep,\n",
    "        gamma=0.15,\n",
    "        replay_memory_size=10000,\n",
    "        target_update=5,\n",
    "        batch_size=256,\n",
    "        learning_rate=0.01),\n",
    "    episode_count=training_episode_count,\n",
    "    iteration_count=iteration_count,\n",
    "    epsilon=0.90,\n",
    "    render=False,\n",
    "    epsilon_exponential_decay=5000,\n",
    "    epsilon_minimum=0.10,\n",
    "    verbosity=Verbosity.Quiet,\n",
    "    title=\"DQL\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "billion-transport",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-06T21:31:16.271747Z",
     "iopub.status.busy": "2021-09-06T21:31:16.271144Z",
     "iopub.status.idle": "2021-09-06T21:31:35.499361Z",
     "shell.execute_reply": "2021-09-06T21:31:35.498838Z"
    },
    "papermill": {
     "duration": 19.58009,
     "end_time": "2021-09-06T21:31:35.499491",
     "exception": false,
     "start_time": "2021-09-06T21:31:15.919401",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "###### Exploiting DQL\n",
      "Learning with: episode_count=10,iteration_count=600,ϵ=0.0,ϵ_min=0.0, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n",
      "  ## Episode: 1/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 2|reward:  109.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 2|reward:  109.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 3|reward:  118.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
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     "text": [
      "\n"
     ]
    },
    {
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     "text": [
      "  Episode 1 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/33 (0.00)\n",
      "    explore-remote: 17/153 (0.10)\n",
      "    explore-connect: 0/173 (0.00)\n",
      "    exploit-local: 18/62 (0.23)\n",
      "    exploit-remote: 3/36 (0.08)\n",
      "    exploit-connect: 10/95 (0.10)\n",
      "  exploit deflected to exploration: 376\n",
      "  ## Episode: 2/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
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     ]
    },
    {
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     "output_type": "stream",
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      "Episode 2|Iteration 13|reward:  454.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 13|reward:  454.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
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    },
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      "Episode 2|Iteration 14|reward:  463.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
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      "Episode 2|Iteration 14|reward:  463.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 16|reward:  563.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 16|reward:  563.0|last_reward_at:   16|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 2|Iteration 21|reward:  572.0|last_reward_at:   16|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 21|reward:  572.0|last_reward_at:   21|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 22|reward:  672.0|last_reward_at:   21|Elapsed Time: 0:00:00||"
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    },
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      "Episode 2|Iteration 22|reward:  672.0|last_reward_at:   22|Elapsed Time: 0:00:00||"
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    },
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      "Episode 2|Iteration 26|reward:  678.0|last_reward_at:   22|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 26|reward:  678.0|last_reward_at:   26|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 31|reward:  687.0|last_reward_at:   26|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 31|reward:  687.0|last_reward_at:   31|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 32|reward:  787.0|last_reward_at:   31|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 32|reward:  787.0|last_reward_at:   32|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 38|reward:  787.0|last_reward_at:   32|Elapsed Time: 0:00:00||"
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    },
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      "Episode 2|Iteration 38|reward:  796.0|last_reward_at:   38|Elapsed Time: 0:00:00||"
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    },
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      "Episode 2|Iteration 39|reward:  896.0|last_reward_at:   38|Elapsed Time: 0:00:00||"
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    },
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      "Episode 2|Iteration 39|reward:  896.0|last_reward_at:   39|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 2|Iteration 42|reward:  905.0|last_reward_at:   39|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "Episode 2|Iteration 42|reward:  905.0|last_reward_at:   42|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 2|Iteration 43|reward: 1005.0|last_reward_at:   42|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 2|Iteration 43|reward: 1005.0|last_reward_at:   43|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 2|Iteration 51|reward: 6005.0|last_reward_at:   43|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 2|Iteration 51|reward: 6005.0|last_reward_at:   51|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 2 ended at t=51 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/0 (NaN)\n",
      "    explore-remote: 0/0 (NaN)\n",
      "    explore-connect: 0/1 (0.00)\n",
      "    exploit-local: 13/0 (1.00)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 10/27 (0.27)\n",
      "  exploit deflected to exploration: 1\n",
      "  ## Episode: 3/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 3|Iteration 2|reward:  109.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 3|Iteration 2|reward:  109.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 3|Iteration 3|reward:  118.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 3|Iteration 3|reward:  118.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 3|Iteration 4|reward:  124.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 3|Iteration 4|reward:  124.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 5|reward:  224.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 3|Iteration 5|reward:  224.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 3|Iteration 6|reward:  233.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 3|Iteration 6|reward:  233.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 3|Iteration 7|reward:  333.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 3|Iteration 7|reward:  333.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 3|Iteration 8|reward:  342.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 3|Iteration 8|reward:  342.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "Episode 3|Iteration 9|reward:  348.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 3|Iteration 9|reward:  348.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 3|Iteration 10|reward:  448.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "Episode 3|Iteration 10|reward:  448.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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    },
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      "Episode 3|Iteration 11|reward:  457.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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    },
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      "Episode 3|Iteration 11|reward:  457.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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    },
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      "Episode 3|Iteration 21|reward:  457.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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    },
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      "Episode 3|Iteration 28|reward:  457.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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    },
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      "Episode 3|Iteration 33|reward:  557.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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    },
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      "Episode 3|Iteration 33|reward:  557.0|last_reward_at:   33|Elapsed Time: 0:00:00||"
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    },
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      "Episode 3|Iteration 34|reward:  566.0|last_reward_at:   33|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 3|Iteration 34|reward:  566.0|last_reward_at:   34|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "\r",
      "Episode 3|Iteration 36|reward:  666.0|last_reward_at:   34|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 36|reward:  666.0|last_reward_at:   36|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 38|reward:  675.0|last_reward_at:   36|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 38|reward:  675.0|last_reward_at:   38|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 42|reward:  775.0|last_reward_at:   38|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 42|reward:  775.0|last_reward_at:   42|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 45|reward:  781.0|last_reward_at:   42|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 45|reward:  781.0|last_reward_at:   45|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 46|reward: 5781.0|last_reward_at:   45|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 46|reward: 5781.0|last_reward_at:   46|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 3 ended at t=46 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/0 (NaN)\n",
      "    explore-remote: 0/0 (NaN)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 10/11 (0.48)\n",
      "    exploit-remote: 1/0 (1.00)\n",
      "    exploit-connect: 7/17 (0.29)\n",
      "  exploit deflected to exploration: 0\n",
      "  ## Episode: 4/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 2|reward:  109.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 2|reward:  109.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 3|reward:  118.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 3|reward:  118.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 4|reward:  124.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 4|reward:  124.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 5|reward:  224.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 5|reward:  224.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 6|reward:  233.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 6|reward:  233.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 7|reward:  333.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 4|Iteration 7|reward:  333.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
     ]
    },
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      "\r",
      "Episode 4|Iteration 8|reward:  342.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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    },
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      "Episode 4|Iteration 8|reward:  342.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 4|Iteration 9|reward:  348.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
     ]
    },
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      "Episode 4|Iteration 9|reward:  348.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
     ]
    },
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      "\r",
      "Episode 4|Iteration 10|reward:  448.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
     ]
    },
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      "Episode 4|Iteration 10|reward:  448.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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    },
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      "Episode 4|Iteration 51|reward: 6002.0|last_reward_at:   47|Elapsed Time: 0:00:00||"
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     "text": [
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     ]
    },
    {
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     "text": [
      "  Episode 4 ended at t=51 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/0 (NaN)\n",
      "    explore-remote: 0/0 (NaN)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 12/2 (0.86)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 10/27 (0.27)\n",
      "  exploit deflected to exploration: 0\n",
      "  ## Episode: 5/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
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      "Episode 5|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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     "text": [
      "  Episode 5 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/10 (0.00)\n",
      "    explore-remote: 6/35 (0.15)\n",
      "    explore-connect: 0/41 (0.00)\n",
      "    exploit-local: 15/35 (0.30)\n",
      "    exploit-remote: 14/141 (0.09)\n",
      "    exploit-connect: 11/292 (0.04)\n",
      "  exploit deflected to exploration: 92\n",
      "  ## Episode: 6/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 6|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 6|Iteration 1|reward:    0.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 2|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
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    },
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      "Episode 6|Iteration 3|reward:  109.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 3|reward:  109.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 4|reward:  118.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 6|Iteration 4|reward:  118.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 5|reward:  218.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 6|Iteration 5|reward:  218.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 6|Iteration 6|reward:  227.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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    {
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      "Episode 6|Iteration 6|reward:  227.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 7|reward:  327.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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    },
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      "Episode 6|Iteration 7|reward:  327.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 6|Iteration 8|reward:  336.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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    },
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      "Episode 6|Iteration 8|reward:  336.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 9|reward:  436.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 9|reward:  436.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 10|reward:  445.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 10|reward:  445.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 11|reward:  545.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 13|reward:  654.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 14|reward:  663.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 14|reward:  663.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 15|reward:  763.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 15|reward:  763.0|last_reward_at:   15|Elapsed Time: 0:00:00||"
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      "Episode 6|Iteration 16|reward:  772.0|last_reward_at:   15|Elapsed Time: 0:00:00||"
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    },
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      "Episode 6|Iteration 16|reward:  772.0|last_reward_at:   16|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 6|Iteration 17|reward:  872.0|last_reward_at:   16|Elapsed Time: 0:00:00||"
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    },
    {
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      "\r",
      "Episode 6|Iteration 17|reward:  872.0|last_reward_at:   17|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 6|Iteration 19|reward:  881.0|last_reward_at:   17|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 6|Iteration 19|reward:  881.0|last_reward_at:   19|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 6|Iteration 21|reward: 5881.0|last_reward_at:   19|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 6|Iteration 21|reward: 5881.0|last_reward_at:   21|Elapsed Time: 0:00:00||"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 6 ended at t=21 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 1/0 (1.00)\n",
      "    explore-remote: 0/1 (0.00)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 8/1 (0.89)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 9/1 (0.90)\n",
      "  exploit deflected to exploration: 2\n",
      "  ## Episode: 7/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 2|reward:  109.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 2|reward:  109.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 7|Iteration 3|reward:  118.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 7|Iteration 3|reward:  118.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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    },
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      "Episode 7|Iteration 4|reward:  124.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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    },
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      "Episode 7|Iteration 4|reward:  124.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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    },
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      "Episode 7|Iteration 5|reward:  224.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 5|reward:  224.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 6|reward:  233.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 6|reward:  233.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 7|reward:  333.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 7|reward:  333.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 8|reward:  342.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 8|reward:  342.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 9|reward:  348.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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    },
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      "Episode 7|Iteration 9|reward:  348.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 10|reward:  448.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 10|reward:  448.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 11|reward:  457.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 11|reward:  457.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 12|reward:  463.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 12|reward:  463.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 13|reward:  563.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 13|reward:  563.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
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      "\r",
      "Episode 7|Iteration 14|reward:  572.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "\r",
      "Episode 7|Iteration 14|reward:  572.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "\r",
      "Episode 7|Iteration 15|reward:  672.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 15|reward:  672.0|last_reward_at:   15|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 16|reward: 5672.0|last_reward_at:   15|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 7|Iteration 16|reward: 5672.0|last_reward_at:   16|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 7 ended at t=16 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/0 (NaN)\n",
      "    explore-remote: 0/0 (NaN)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 9/0 (1.00)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 7/0 (1.00)\n",
      "  exploit deflected to exploration: 0\n",
      "  ## Episode: 8/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 8|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 8|Iteration 1|reward:    0.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 8|Iteration 3|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 8|Iteration 3|reward:    9.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 8|Iteration 4|reward:  109.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 8|Iteration 4|reward:  109.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "\r",
      "Episode 8|Iteration 5|reward:  118.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
     ]
    },
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      "\r",
      "Episode 8|Iteration 5|reward:  118.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 8|Iteration 6|reward:  218.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 8|Iteration 6|reward:  218.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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    },
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      "\r",
      "Episode 8|Iteration 7|reward:  227.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 8|Iteration 7|reward:  227.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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    },
    {
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      "\r",
      "Episode 8|Iteration 8|reward:  327.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 8|Iteration 8|reward:  327.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
     ]
    },
    {
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      "\r",
      "Episode 8|Iteration 9|reward:  336.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 9|reward:  336.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 10|reward:  436.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 10|reward:  436.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 8|Iteration 11|reward:  445.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 8|Iteration 11|reward:  445.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "Episode 8|Iteration 12|reward:  451.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 8|Iteration 12|reward:  451.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 8|Iteration 21|reward: 5451.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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      "Episode 8|Iteration 21|reward: 5451.0|last_reward_at:   21|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 8 ended at t=21 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/0 (NaN)\n",
      "    explore-remote: 0/2 (0.00)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 6/3 (0.67)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 5/5 (0.50)\n",
      "  exploit deflected to exploration: 2\n",
      "  ## Episode: 9/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 9|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 9|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
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    },
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      "Episode 9|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 2|reward:  109.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 2|reward:  109.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 3|reward:  118.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 3|reward:  118.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 4|reward:  218.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 4|reward:  218.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 5|reward:  227.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 5|reward:  227.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 6|reward:  327.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 6|reward:  327.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 7|reward:  336.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 7|reward:  336.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 8|reward:  436.0|last_reward_at:    7|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 9|reward:  445.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 9|reward:  445.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 10|reward:  545.0|last_reward_at:    9|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 10|reward:  545.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 11|reward:  554.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 11|reward:  554.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 12|reward:  654.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 12|reward:  654.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 13|reward:  663.0|last_reward_at:   12|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 13|reward:  663.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 14|reward:  763.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
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      "Episode 9|Iteration 14|reward:  763.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
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    },
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      "Episode 9|Iteration 15|reward:  772.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
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    },
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      "Episode 9|Iteration 15|reward:  772.0|last_reward_at:   15|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 9|Iteration 21|reward:  872.0|last_reward_at:   15|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "Episode 9|Iteration 21|reward:  872.0|last_reward_at:   21|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 9|Iteration 23|reward:  881.0|last_reward_at:   21|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 9|Iteration 23|reward:  881.0|last_reward_at:   23|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 9|Iteration 26|reward: 5881.0|last_reward_at:   23|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 9|Iteration 26|reward: 5881.0|last_reward_at:   26|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 9 ended at t=26 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/0 (NaN)\n",
      "    explore-remote: 0/0 (NaN)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 9/2 (0.82)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 9/6 (0.60)\n",
      "  exploit deflected to exploration: 0\n",
      "  ## Episode: 10/10 'Exploiting DQL' ϵ=0.0000, γ=0.15, lr=0.01, replaymemory=10000,\n",
      "batch=256, target_update=5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 10|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
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      "Episode 10|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
     ]
    },
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      "Episode 10|Iteration 2|reward:  109.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
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    },
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      "Episode 10|Iteration 2|reward:  109.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 3|reward:  118.0|last_reward_at:    2|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 3|reward:  118.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 4|reward:  218.0|last_reward_at:    3|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 4|reward:  218.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 5|reward:  227.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 5|reward:  227.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 6|reward:  327.0|last_reward_at:    5|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 6|reward:  327.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 7|reward:  336.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 9|reward:  445.0|last_reward_at:    8|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 10|reward:  545.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 11|reward:  554.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 12|reward:  654.0|last_reward_at:   11|Elapsed Time: 0:00:00||"
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      "Episode 10|Iteration 14|reward:  763.0|last_reward_at:   13|Elapsed Time: 0:00:00||"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 24|reward: 1105.0|last_reward_at:   22|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 24|reward: 1105.0|last_reward_at:   24|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 26|reward: 6105.0|last_reward_at:   24|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 26|reward: 6105.0|last_reward_at:   26|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 10 ended at t=26 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 0/0 (NaN)\n",
      "    explore-remote: 0/0 (NaN)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 13/0 (1.00)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 10/3 (0.77)\n",
      "  exploit deflected to exploration: 0\n",
      "simulation ended\n"
     ]
    },
    {
     "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": [
    "dql_exploit_run = learner.epsilon_greedy_search(\n",
    "    cyberbattlechain_defender,\n",
    "    ep,\n",
    "    learner=dqn_with_defender['learner'],\n",
    "    episode_count=training_episode_count,\n",
    "    iteration_count=iteration_count,\n",
    "    epsilon=0.0,  # 0.35,\n",
    "    render=False,\n",
    "    # render_last_episode_rewards_to='images/chain10',\n",
    "    verbosity=Verbosity.Quiet,\n",
    "    title=\"Exploiting DQL\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "canadian-newton",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-06T21:31:36.354048Z",
     "iopub.status.busy": "2021-09-06T21:31:36.353431Z",
     "iopub.status.idle": "2021-09-06T21:31:45.689693Z",
     "shell.execute_reply": "2021-09-06T21:31:45.690187Z"
    },
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 9.770547,
     "end_time": "2021-09-06T21:31:45.690348",
     "exception": false,
     "start_time": "2021-09-06T21:31:35.919801",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "###### Credential lookups (ϵ-greedy)\n",
      "Learning with: episode_count=10,iteration_count=600,ϵ=0.9,ϵ_min=0.1, ϵ_expdecay=10000,\n",
      "  ## Episode: 1/10 'Credential lookups (ϵ-greedy)' ϵ=0.9000, \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 1|reward:    0.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 6|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 6|reward:    9.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 10|reward:   11.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 10|reward:   11.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 14|reward:  111.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 14|reward:  111.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 16|reward:  117.0|last_reward_at:   14|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 16|reward:  117.0|last_reward_at:   16|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 17|reward:  119.0|last_reward_at:   16|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 17|reward:  119.0|last_reward_at:   17|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 22|reward:  127.0|last_reward_at:   17|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 22|reward:  127.0|last_reward_at:   22|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 29|reward:  133.0|last_reward_at:   22|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 29|reward:  133.0|last_reward_at:   29|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 34|reward:  142.0|last_reward_at:   29|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 34|reward:  142.0|last_reward_at:   34|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 39|reward:  242.0|last_reward_at:   34|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 39|reward:  242.0|last_reward_at:   39|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 45|reward:  251.0|last_reward_at:   39|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 45|reward:  251.0|last_reward_at:   45|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 47|reward:  253.0|last_reward_at:   45|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 47|reward:  253.0|last_reward_at:   47|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 48|reward:  353.0|last_reward_at:   47|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 48|reward:  353.0|last_reward_at:   48|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 49|reward:  362.0|last_reward_at:   48|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 1|Iteration 49|reward:  362.0|last_reward_at:   49|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
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    {
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     "text": [
      "  Episode 1 ended at t=191 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 14/55 (0.20)\n",
      "    explore-remote: 14/97 (0.13)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 7/4 (0.64)\n",
      "  exploit deflected to exploration: 2\n",
      "  ## Episode: 2/10 'Credential lookups (ϵ-greedy)' ϵ=0.8849, \n"
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 2|Iteration 570|reward:  381.0|last_reward_at:  110|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 2|Iteration 600|reward:  381.0|last_reward_at:  110|Elapsed Time: 0:00:01||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 2 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 6/109 (0.05)\n",
      "    explore-remote: 8/408 (0.02)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 3/66 (0.04)\n",
      "  exploit deflected to exploration: 6\n",
      "  ## Episode: 3/10 'Credential lookups (ϵ-greedy)' ϵ=0.8392, \n"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 3|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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    {
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      "Episode 3|Iteration 1|reward:    0.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 3|Iteration 10|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 3|Iteration 10|reward:    9.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "Episode 3|Iteration 11|reward:  109.0|last_reward_at:   10|Elapsed Time: 0:00:00||"
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      "\r",
      "Episode 3|Iteration 547|reward:  133.0|last_reward_at:   55|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 3|Iteration 585|reward:  133.0|last_reward_at:   55|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 3|Iteration 600|reward:  133.0|last_reward_at:   55|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 3 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 2/76 (0.03)\n",
      "    explore-remote: 4/408 (0.01)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 1/109 (0.01)\n",
      "  exploit deflected to exploration: 4\n",
      "  ## Episode: 4/10 'Credential lookups (ϵ-greedy)' ϵ=0.7962, \n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 4|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 4|Iteration 15|reward:  115.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 4|Iteration 555|reward:  248.0|last_reward_at:   71|Elapsed Time: 0:00:00||"
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      "Episode 4|Iteration 593|reward:  248.0|last_reward_at:   71|Elapsed Time: 0:00:00||"
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    {
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     "output_type": "stream",
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      "Episode 4|Iteration 600|reward:  248.0|last_reward_at:   71|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 4 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 3/75 (0.04)\n",
      "    explore-remote: 6/391 (0.02)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 2/123 (0.02)\n",
      "  exploit deflected to exploration: 6\n",
      "  ## Episode: 5/10 'Credential lookups (ϵ-greedy)' ϵ=0.7556, \n"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 5|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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    },
    {
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     "text": [
      "  Episode 5 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 7/82 (0.08)\n",
      "    explore-remote: 8/363 (0.02)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 4/136 (0.03)\n",
      "  exploit deflected to exploration: 9\n",
      "  ## Episode: 6/10 'Credential lookups (ϵ-greedy)' ϵ=0.7175, \n"
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 6 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 6/67 (0.08)\n",
      "    explore-remote: 8/343 (0.02)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 3/173 (0.02)\n",
      "  exploit deflected to exploration: 10\n",
      "  ## Episode: 7/10 'Credential lookups (ϵ-greedy)' ϵ=0.6815, \n"
     ]
    },
    {
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      "Episode 7|Iteration 6|reward:  109.0|last_reward_at:    4|Elapsed Time: 0:00:00||"
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      "Episode 7|Iteration 479|reward:  242.0|last_reward_at:   25|Elapsed Time: 0:00:00||"
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    },
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      "Episode 7|Iteration 517|reward:  242.0|last_reward_at:   25|Elapsed Time: 0:00:00||"
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    },
    {
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      "\r",
      "Episode 7|Iteration 555|reward:  242.0|last_reward_at:   25|Elapsed Time: 0:00:00||"
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    },
    {
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      "Episode 7|Iteration 593|reward:  242.0|last_reward_at:   25|Elapsed Time: 0:00:00||"
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    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 7|Iteration 600|reward:  242.0|last_reward_at:   25|Elapsed Time: 0:00:00||"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 7 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 3/47 (0.06)\n",
      "    explore-remote: 4/352 (0.01)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 2/192 (0.01)\n",
      "  exploit deflected to exploration: 14\n",
      "  ## Episode: 8/10 'Credential lookups (ϵ-greedy)' ϵ=0.6476, \n"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 8|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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    {
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      "Episode 8|Iteration 1|reward:    9.0|last_reward_at: ----|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 1|reward:    9.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 6|reward:  109.0|last_reward_at:    1|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 6|reward:  109.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 9|reward:  118.0|last_reward_at:    6|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 494|reward:  240.0|last_reward_at:   29|Elapsed Time: 0:00:00||"
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      "Episode 8|Iteration 532|reward:  240.0|last_reward_at:   29|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
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      "\r",
      "Episode 8|Iteration 570|reward:  240.0|last_reward_at:   29|Elapsed Time: 0:00:00||"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r",
      "Episode 8|Iteration 600|reward:  240.0|last_reward_at:   29|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 8 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 3/92 (0.03)\n",
      "    explore-remote: 4/288 (0.01)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 2/211 (0.01)\n",
      "  exploit deflected to exploration: 2\n",
      "  ## Episode: 9/10 'Credential lookups (ϵ-greedy)' ϵ=0.6157, \n"
     ]
    },
    {
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     "output_type": "stream",
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      "Episode 9|Iteration 0|reward: ------|last_reward_at: ----|Elapsed Time: 0:00:00||"
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     ]
    },
    {
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     "text": [
      "  Episode 9 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 10/74 (0.12)\n",
      "    explore-remote: 12/278 (0.04)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 6/220 (0.03)\n",
      "  exploit deflected to exploration: 20\n",
      "  ## Episode: 10/10 'Credential lookups (ϵ-greedy)' ϵ=0.5857, \n"
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 600|reward:  242.0|last_reward_at:   49|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Episode 10|Iteration 600|reward:  242.0|last_reward_at:   49|Elapsed Time: 0:00:00||"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Episode 10 stopped at t=600 \n",
      "  Breakdown [Reward/NoReward (Success rate)]\n",
      "    explore-local: 3/56 (0.05)\n",
      "    explore-remote: 4/269 (0.01)\n",
      "    explore-connect: 0/0 (NaN)\n",
      "    exploit-local: 0/0 (NaN)\n",
      "    exploit-remote: 0/0 (NaN)\n",
      "    exploit-connect: 2/266 (0.01)\n",
      "  exploit deflected to exploration: 11\n",
      "simulation ended\n"
     ]
    },
    {
     "data": {
      "image/png": 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2Aq+K3cfH5bGLsN98rOCzbiW2CWnnu+bE5d0c199fFRFf4fpJIwGYGePYHX9/MsG+HHiumPVNOLHu4PA2F/m7ALYRkoEzi4jnBMI+vImwbz5EuOCZRzh+5O+cGRa39csTy7LNY1gcPz/G0N5dAG3um3H8qwh3WeRb+8+Pw9s95ifm/UxcTsd0dd0k1nPhMr+qYBmvJuzHhXc+jAF+GsetJnFB0pN54/JYSSL5a+uVbz0vFc7CQz1ud/dbSvBZXwA2uvvXSvBZHyKcsP+ip5/Vze8fTDj5nOXuzyeGf4WQmHRYL21m/wf8jXfyMCAzm0lIQvq7+4Gexp0FZvZr4Dp3X552LMUws3pCQ7GmTieuQbF+/1p3f09K3/8IJTqGlZKZXUkoSaq4h9t1l5l9Btjk7h0+8E0P7alB7v6p7s5rZpOAYwjtQ2YRqoi+VaLQuuNDwBPJkz+Au3+8mJnd/byyRFUF3P31acfQFe7eq08xzBoP9fud1fHXlNjW4K85/AE7mefuny9mOiUA0lUDCC31jyZUA9xFSjuPma0kFCF31khVpF0FjRKTLnT33/VqMBXAzF5FuEXwCO7e1bsYKpaZvQH4MfA/hPr7mqMqABERkRqU+r8BioiISO9TFUAvGDdunM+cOTPtMEREMuXJJ5/c7O7t/fGR9JASgF4wc+ZMFi9enHYYIiKZYmaFT/+UElIVgIiISA1SAiAiIlKDlACIiIjUICUAIiIiNUgJgIiISA1SAgCY2Sgzu8fM/mhmy83sXDMbY2a/MbPn4/voOK2Z2TfMbIWZLTWzs9KOX0REpKuUAARfB37p7icS/lN5OXAD8KC7zyL8De0NcdoLCc/An0X4Z7ibez9cERGRnqn55wCY2Ujg1YS/0cTd9wH7zGwe4e87ARYR/sryesJfXt7m4RnKdbH0YJK753o59F7z6IrN1DXoD9bkSGN3vcDxmx/E0CPFpW3TXvNBphxzUtphSBtqPgEg/KnNJuA/zex0wn+jXwdMTJzU1wMTY/cUwv9N562Nww5LAMxsAaGEgOnTp5ct+HJzd/7+nqWs27obs7SjkUrypj6Pck2//2CI7aXVtXFI25Y1nq8EoEIpAQjL4Czgw+7+uJl9nUPF/QC4u5tZly5x3H0hsBBgzpw5mb08WrtlN+u27uaf5p3MlefOTDscqQQtB+DBG+HRb8G0uXDpbfQZPrHT2aQ2nZJ2ANIutQEIV/Br3f3x2H8PISHYYGaTAOL7xjh+HTAtMf/UOKwqPRaL/uceMzblSKQivNQEt78NHv0mvPwDMP9+0MlfJJNqPgFw9/XAGjM7IQ66AFgG3AfMj8PmA/fG7vuAK+PdAHOBbdVc/1/X0MTYoQOYNaFq/gZcuiu3BBaeD6vrYN634eKvQL8BaUclIt2kKoDgw8AdZjYAaADeR0iO7jazq4FVwKVx2geAi4AVwK44bVVyd+peaGLuMWMxNQCobUvvhvs+DEPGwvt/AVNelnZEItJDSgAAd68H5rQx6oI2pnXg2rIHVQHWNO+mcdsePnTMmLRDkbS0HIDf/APU/TvMOA/euQiG6d9ZRaqBEgBpV53q/2vbzk1wz/tg5e/gnGvg9Z+Hvv3TjkpESkQJgLSrrqGJccMGcJzq/2vPuqfgh1fArs3w1u/C6e9OOyIRKTElANImd+exhibOUf1/7an/Adz/ERg2Ad7/K5h8RtoRiUgZKAGQNq1u3kVu2x4V/9eSlv3wq0/BHxbC0a+Gd/wnDB2XdlQiUiZKAKRN+fr/c9UAsDbs3Ah3z4fVj8K5fwOv/Rz01eFBpJppD5c21TU0M27YQI4dr/r/qrf2Sfjhe2H3FnjbLXDaO9OOSER6gRIAOYK789gLTcw9Zozq/6vdU7fBzz8Ow4+Cq38Nk05LOyIR6SVKAOQIq5p2sX676v+r2oF98MvrYfH34Ji/hHd8D4aoukekligBkCPo/v8qt2M93H0lrHkczrsOXvOPqu8XqUHa6+UIdQ1NjB8+kGPHD007FCm1NX8I9/fv3R5a+Z/ytrQjEpGUKAGQw+Tv/9fz/6vQ4u/BA5+AkVPgih/DxJPTjkhEUqQEQA6zsmkXG7bvZa5u/6seB/bCA38PTy2C414Lb78FBo9OOyoRSZkSADmM6v+rzPbGUOS/bjG86uPwl5+GPn3TjkpEKoASADlMXUMTE4YP5Jhxqv/PvFWPhcZ++16CS2+D2fPSjkhEKogSADno0P3/qv/PNHd44hb45Q0wagbMvw8mnJR2VCJSYZQAyEEvbn6JjTv2qvg/y/bvCQ/2qb8dZr0B3rYQBo9KOyoRqUBKAOSguoZmADUAzKpta8MjfRufhr+4Hv7iBujTJ+2oRKRCKQGQg+oampg4YiBHq/4/e1b+PvyZz4G98O4fwIkXpx2RiFQ4XR4IoPv/M8sd6m6GRW8Jt/Z98CGd/EWkKCoBEAAaNr/EJtX/Z8v+3XD/R2DpXXDCxfDW78CgEWlHJSIZoQRAAN3/nzm7muG2ebD+mXBv/6v+TvX9ItIlSgAECA0AjxoxiJljh6QdihTj2R/B+qXwrtvhpDenHY2IZJAuGSRx//8Y1f9nRa4eBo+BE9+UdiQiklFKAIQXNr3E5p2q/8+U3BKYfAYoYRORblICAJjZSjN7xszqzWxxHDbGzH5jZs/H99FxuJnZN8xshZktNbOz0o2+51T/nzH798DG5TDpjLQjEZEMUwJwyF+6+xnuPif23wA86O6zgAdjP8CFwKz4WgDc3OuRllhdQxOTRg5ihur/s2Hjc9B6ACadnnYkIpJhSgDaNw9YFLsXAZckht/mQR0wyswmpRFgKbg7dQ3Nuv8/S3JLwvtklQCISPcpAQgc+LWZPWlmC+Kwie6ei93rgYmxewqwJjHv2jjsMGa2wMwWm9niTZs2lSvuHnth085Y/6/H/2ZGYz0MGhX+6EdEpJt0G2DwSndfZ2YTgN+Y2R+TI93dzcy78oHuvhBYCDBnzpwuzdubHjv4/H/V/2dGrl4NAEWkx1QCALj7uvi+EfgJcDawIV+0H983xsnXAdMSs0+NwzKprqGJySMHMX2M6v8z4cBe2LBM9f8i0mM1nwCY2VAzG57vBl4PPAvcB8yPk80H7o3d9wFXxrsB5gLbElUFmeLuPK7n/2fLxuXQul93AIhIj6kKINTt/ySeAPsBP3D3X5rZE8DdZnY1sAq4NE7/AHARsALYBbyv90MujRUbd7J55z4V/2dJrj68qwGgiPRQzScA7t4AHFGe6u5NwAVtDHfg2l4Irex0/38GNdbDwJEw+ui0IxGRjKv5KoBaVtfQzJRRg5k2ZnDaoUixcktg0mlqACgiPaYEoEaF+/+bOEfP/8+Olv2w4TkV/4tISSgBqFHPb9xJ00uq/8+UjcuhZa8aAIpISSgBqFH5+v9zlQBkR/4JgEoARKQElADUqLqGplj/r/v/MyNXDwOGw5hj0o5ERKqAEoAa1Np66Pn/kiGN9eEBQH2024pIz+lIUoOe37iT5pf26fn/WdJyADY8qycAikjJKAGoQbr/P4M2/wkO7NEdACJSMkoAalBdQxNTR6v+P1Ma4xMA1QBQREpECUCNCfX/Tbr6z5pcPQwYBmOPSzsSEakSSgBqzJ837mDLrv1KALImtwSOOlUNAEWkZHQ0qTF1L+Tr/9UAMDNaW2D9Myr+F5GSUgJQY+oampk2ZjBTR6v+PzM2/xn271IDQBEpKSUANaS11al7sYm5R6v4P1MONgDULYAiUjpKAGrInzbsYKvq/7MntwT6D4Fxx6cdiYhUESUANeTg/f/HKgHIlFx9bADYN+1IRKSKKAGoIXUNTUwfM4QpowanHYoUq7UFckvVAFBESk4JQI1obXUef7FZrf+zpukF2P+S6v9FpOSUANSIP65X/X8m5WIDQN0BICIlpgSgRuj5/xnVWA/9BsG4E9KORESqjBKAGlHX0MSMsUOYrPr/bMnVw8RToG+/tCMRkSqjBKAGHKz/1/3/2dLaGhoAqvhfRMpACUANWL5+O9t272fusWoAmCnNDbBvh+4AEJGyUAJQA+oamgHV/2eOGgCKSBkpAYjMrK+ZPW1mP4v9R5vZ42a2wsx+aGYD4vCBsX9FHD8zzbiLUdfQxMyxQ5g0UvX/mZKrh74DYfyJaUciIlVICcAh1wHLE/1fBL7q7scBW4Cr4/CrgS1x+FfjdBWrpdV5vKFJV/9Z1FgPE0+Gvv3TjkREqpASAMDMpgIXA7fEfgNeA9wTJ1kEXBK758V+4vgL4vQVaXluO9v3HFACkDXuagAoImWlBCD4GvAJoDX2jwW2uvuB2L8WmBK7pwBrAOL4bXH6w5jZAjNbbGaLN23aVM7YO6T7/zOquQH2btMTAEWkbGo+ATCzNwEb3f3JUn6uuy909znuPmf8+PGl/OguqWto5uhxQzlq5KDUYpBuyC0J77oDQETKRE8XgfOAt5jZRcAgYATwdWCUmfWLV/lTgXVx+nXANGCtmfUDRgJNvR9251pancdfbOJNp01KOxTpqlw99OkPE2anHYmIVKmaLwFw90+6+1R3nwm8G3jI3S8HHgbeESebD9wbu++L/cTxD7m792LIRVue284O1f9nU2M9TJwN/QakHYmIVKmaTwA6cD3wMTNbQajjvzUOvxUYG4d/DLghpfg6pfr/jHIPVQAq/heRMlIVQIK7PwI8ErsbgLPbmGYP8M5eDayb6hqaOGbcUCaOUP1/pmxdBXu26g4AESkrlQBUqZb4/P9zdPWfPY3xCYAqARCRMlICUKWWNebr//X8/8zJ1UOffmoAKCJlpQSgSuXr/89VCUD25JbAhJOgv6puRKR8lABUqbqGJo4ZP5QJqv/PFvdQBaDifxEpMyUAVehASyt/eLFZrf+zaNsa2N2sJwCKSNkpAahCy3Lb2bFX9/9nUv4JgJPPTDcOEal6SgCq0MH7/49WA8DMaawH6xv+BVBEpIyUAFShuoZmjlX9fzbl6mMDwMFpRyIiVU4JQJVR/X+GHWwAqPp/ESm/qnoSoJmNBz4IzCTx29z9/WnF1Nuea9zOTtX/Z9P2Rti1WXcAiEivqKoEgPCHPb8D/gdoSTmWVOTr/8/RA4CyJxefAKhHAItIL6i2BGCIu1+fdhBpqmto4rgJw5gwXPX/mdNYD9YHJp6SdiQiUgOqrQ3Az8zsorSDSMuBllaeWLlFj//NqtwSGHcCDBiSdiQiUgOqLQG4jpAE7DGzHfG1Pe2gesuzqv/Ptly9iv9FpNdUVRWAuw9PO4Y0Haz/P1oJQOZsz8HODWoAKCK9pqoSAAAzewvw6tj7iLv/LM14elNdQxOzJgxj/PCBaYciXZV/AqBuARSRXlJVVQBmdhOhGmBZfF1nZv+ablS9Y39LK0/o/v/sytUDBkedmnYkIlIjqq0E4CLgDHdvBTCzRcDTwCdTjaoXPLtuGy/ta1ECkFWN9TDueBg4LO1IRKRGVFUJQDQq0T0ytSh6WV1DM6D7/zMrpycAikjvqrYSgH8FnjazhwEjtAW4Id2QekddQxPHTxzGuGGq/8+cHRtgR053AIhIr6qqBMDd7zSzR4CXx0HXu/v6FEPqFftbWnliZTPveNnUtEOR7jjYAFAJgIj0nqqoAjCzE+P7WcAkYG18TY7Dqtoz67axS/X/2ZV/BPCk09KNQ0RqSrWUAHwMWAB8pY1xDrymd8PpXYfu/1f9fybllsDY42BgTT/GQkR6WVUkAO6+IHZe6O57kuPMrOofil/X0MwJE4czVvX/2dRYD9Pnph2FiNSYqqgCSHi0yGEHmdkgM/uDmS0xs+fM7HNx+NFm9riZrTCzH5rZgDh8YOxfEcfPLPmv6IL9La0sXtms5/9n1UubYftaNQAUkV5XFQmAmR1lZi8DBpvZmWZ2VnydD3T2zyp7gde4++nAGcAbzWwu8EXgq+5+HLAFuDpOfzWwJQ7/apwuNUvXqv4/0xrz9f+6BVBEeldVVAEAbwCuAqYC/5YYvgP4VEczursDO2Nv//jKtxu4LA5fBNwI3AzMi90A9wDfMjOLn9PrDtb/KwHIppwSABFJR1UkAO6+CFhkZm939x91dX4z6ws8CRwHfBt4Adjq7gfiJGuBKbF7CrAmfu8BM9sGjAU2F3zmAnhZpIcAABEwSURBVELDRKZPn97l31SsuoYmTjxqOGOGDijbd0gZ5ephzDEwqGaeWSUiFaIqEoA8d/+RmV0MnAwMSgz/p07mawHOMLNRwE+AE0sQy0JgIcCcOXPKUjqw70Ari1du4V0vn1aOj5fe0LgEps5JOwoRqUFV0QYgz8y+A7wL+DDhSYDvBGYUO7+7bwUeBs4FRplZPkGaCqyL3euAafH7+hEeN9xUivi76pl1W9m9v0UNALNqVzNsW63ifxFJRVUlAMAr3P1KQiO9zxFO5Md3NIOZjY9X/pjZYOB1wHJCIvCOONl84N7YfV/sJ45/KL36//D8/7OPVv1/JuXr/3UHgIikoKqqAID8MwB2mdlkwpX5pE7mmURoP9CXkBDd7e4/M7NlwF1m9nnCPwreGqe/Ffi+ma0AmoF3l/pHFEv1/xmnOwBEJEXVlgDcH6/m/x/wFKE1/390NIO7LwXObGN4A3B2G8P3EKoWUqX6/yqQq4dRM2Dw6LQjEZEaVDUJgJn1AR6M9fg/MrOfAYPcfVvKoZXF0rX5+n8V/2dWbomK/0UkNVXTBsDdWwm38OX791bryR9C8b+Znv+fWbu3wJaV+gdAEUlN1SQA0YNm9nYzs7QDKbe6hmZOPGoEo1X/n035vwBWCYCIpKTaEoC/Av4b2Gtm281sh5ltTzuoUtt7oIXFq/T8/0zLJwAqARCRlFRNGwAAd6+J/1NdunYbe/a3qv4/yxrrYeR0GKIkTkTSUVUJgJm9uq3h7v7b3o6lnOpeUP1/5uXqYbJu/xOR9FRVAgD8faJ7EOE2vicJf+xTNepebOKko0Ywaojq/zNpzzZoboAzLut8WhGRMqmqBMDd35zsN7NpwNdSCqcs9h5oYfHKLVx+TtFPOJZKk1sa3icd8fgJEZFeU22NAAutBU5KO4hSWrJmG3sPtKoBYJbpEcAiUgGqqgTAzL5JePofhOTmDMITAavGofv/1QAwsxrrYcRUGDou7UhEpIZVVQIALE50HwDudPf/SyuYcqhraGL2pBGMHNI/7VCku3JL9Px/EUldVSUA7r7IzMbH7k1px1Nqew+08OSqLbx3rur/M2vvDmhaAaddmnYkIlLjqqINgAU3mtlm4E/An81sk5n9Y9qxlVL96q2x/l/F/5mVWwq4HgAkIqmrigQA+ChwHvBydx/j7qOBc4DzzOyj6YZWOnUNzZjB2TPVADCzcvoLYBGpDNWSAFwBvMfdX8wPiH/n+17gytSiKrG6hiZOnqz6/0zLLYHhk2D4xLQjEZEaVy0JQH9331w4MLYDqIqz5Z79LTy5egtz1fo/2xrrVfwvIhWhWhKAfd0clxn1a7ayT/X/2bZ3J2z+s+7/F5GKUC13AZzezr/+GeGRwJlX19BEH4OX6/n/2bXhWUIDQNX/i0j6qiIBcPe+acdQbqH+fyQjB1dFjUZtasw3AFQJgIikr1qqAKranv0tPLV6qx7/m3W5ehg2EUZMSjsSERElAFnw9GrV/1eFxnoV/4tIxVACkAGq/68C+3bB5j+p+F9EKoYSgAyoa2jilCkjGTFI9f+ZteFZ8FbdASAiFUMJQIXbs7+Fp1dvVfF/1jXqCYAiUllqPgEws2lm9rCZLTOz58zsujh8jJn9xsyej++j43Azs2+Y2QozW2pmZ5UzvqdWb2FfS6saAGZdbgkMGQcjpqQdiYgIoAQAwt8Gf9zdZwNzgWvNbDZwA/Cgu88CHoz9ABcCs+JrAXBzOYOra2imj8EcPf8/23L1ofjfLO1IREQAJQC4e87dn4rdO4DlwBRgHrAoTrYIuCR2zwNu86AOGGVmZbuvq66hiVNV/59t+3fDxuVqACgiFaXmE4AkM5sJnAk8Dkx091wctR7I/3vLFGBNYra1cVjhZy0ws8VmtnjTpk3dimfP/hbqVf+ffRuWgbeo/l9EKooSgMjMhgE/Aj7i7oc9VtjdHfCufJ67L3T3Oe4+Z/z48d2K6alV+fp/JQCZlns6vOsOABGpIEoAADPrTzj53+HuP46DN+SL9uP7xjh8HTAtMfvUOKzk6hqa6NvHmDNzdDk+XnpLYz0MHgMjp3U+rYhIL6n5BMDMDLgVWO7u/5YYdR8wP3bPB+5NDL8y3g0wF9iWqCooqeGD+vPGk49iuOr/sy0XnwCoBoAiUkGq4s+Aeug84ArgGTOLN2vzKeAm4G4zuxpYBVwaxz0AXASsAHYB7ytXYB989THl+mjpLQf2hgaAr/hw2pGIiBym5hMAd/894W+D23JBG9M7cG1Zg5LqseE5aD2gOwBEpOLUfBWASFnlYqGSGgCKSIVRAiBSTrklMGgUjJqRdiQiIodRAiBSTo1qACgilUkJgEi5HNgHG5ep+F9EKpISAJFy2bgMWvbpCYAiUpGUAIiUS25JeNcdACJSgZQAiJRLrh4GjoQxep6DiFQeJQAi5dJYD5NOUwNAEalISgBEyqFlf3gIkOr/RaRCKQEQKYdNf4SWvTD5zLQjERFpkxIAkXJojE8AVANAEalQSgBEyiFXDwOGqwGgiFQsJQAi5ZBbEhoA9tEuJiKVSUcnkVJrOQDrn1Xxv4hUNCUAIqW2+U9wYLceASwiFU0JgEipHXwCoG4BFJHKpQRApNQa66H/UBh7XNqRiIi0SwmASKnl4hMA+/RNOxIRkXYpARAppdYWWP+Miv9FpOIpARAppc3Pw/5dugNARCqeEgCRUsrFJwDqDgARqXBKAERKqbEe+g2GccenHYmISIeUAIiUUm4JHHWqGgCKSMVTAiBSKq2tsH6piv9FJBNqPgEws++Z2UYzezYxbIyZ/cbMno/vo+NwM7NvmNkKM1tqZmelF7lUnKYVsG+nGgCKSCbUfAIA/BfwxoJhNwAPuvss4MHYD3AhMCu+FgA391KMkgX5BoC6BVBEMqDmEwB3/y3QXDB4HrAodi8CLkkMv82DOmCUmU3qnUil4uWWQL9BMP7EtCMREelUzScA7Zjo7rnYvR6YGLunAGsS062Nw45gZgvMbLGZLd60aVP5IpXK0VgPE0+Bvv3SjkREpFNKADrh7g54N+Zb6O5z3H3O+PHjyxCZVJTW1lACoAaAIpIRSgDatiFftB/fN8bh64BpiemmxmFS67a8CPt2qP5fRDJDCUDb7gPmx+75wL2J4VfGuwHmAtsSVQVSyxqfDu+6A0BEMqLmKyvN7E7gfGCcma0FPgvcBNxtZlcDq4BL4+QPABcBK4BdwPt6PWCpTLl66DsAJpyUdiQiIkWp+QTA3d/TzqgL2pjWgWvLG5FkUm4JTDwZ+vZPOxIRkaKoCkCkp9xDAqDifxHJECUAIj215UXYs013AIhIpigBEOmpxvwTAJUAiEh2KAEQ6ancEujTXw0ARSRTlACI9FSuHibOhn4D045ERKRoSgBEesI9VAGo+F9EMkYJgEhPbF0Ne7bqCYAikjlKAER6Iv8XwLoDQEQyRgmASE801kOffjDh5LQjERHpEiUAIj2Rqw+t//sPSjsSEZEuUQIg0l0HnwCo+n8RyR4lACLdtW0t7GrSHQAikklKAES662ADwDPTjUNEpBuUAIh0V24JWN/wL4AiIhmjBECkuxrrYfyJ0H9w2pGIiHSZEgCR7nAPVQC6/19EMkoJgEh3bG+ElzbpDgARySwlACLdkVsS3nUHgIhklBIAke7I1YP1gaNOTTsSEZFuUQIg0h2N9TDuBBgwJO1IRES6RQmASHfoCYAiknFKAES6asd62LledwCISKYpARDpqsb4BEA1ABSRDFMCINJVuXrA1ABQRDJNCUA3mNkbzexPZrbCzG5IOx7pZbklMG4WDByWdiQiIt2mBKCLzKwv8G3gQmA28B4zm51uVNKrGutV/C8imdcv7QAy6Gxghbs3AJjZXcA8YFnJv+nhL8Cye0v+sdID7rCjUQ0ARSTzlAB03RRgTaJ/LXBO4URmtgBYADB9+vTufdOwiTD+hO7NK+Uz6XSYPS/tKEREekQJQJm4+0JgIcCcOXO8Wx/y8qvDS0REpMTUBqDr1gHTEv1T4zAREZHMUALQdU8As8zsaDMbALwbuC/lmERERLpEVQBd5O4HzOxvgF8BfYHvuftzKYclIiLSJUoAusHdHwAeSDsOERGR7lIVgIiISA1SAiAiIlKDlACIiIjUICUAIiIiNcjcu/eMGimemW0CVqUdRw+NAzanHUQF0fI4RMvicFoeh+vJ8pjh7uNLGYwcogRAimJmi919TtpxVAotj0O0LA6n5XE4LY/KpSoAERGRGqQEQEREpAYpAZBiLUw7gAqj5XGIlsXhtDwOp+VRodQGQEREpAapBEBERKQGKQEQERGpQUoApENmNs3MHjazZWb2nJldl3ZMaTOzvmb2tJn9LO1Y0mZmo8zsHjP7o5ktN7Nz044pLWb20biPPGtmd5rZoLRj6k1m9j0z22hmzyaGjTGz35jZ8/F9dJoxyuGUAEhnDgAfd/fZwFzgWjObnXJMabsOWJ52EBXi68Av3f1E4HRqdLmY2RTgb4E57n4K4a/C351uVL3uv4A3Fgy7AXjQ3WcBD8Z+qRBKAKRD7p5z96di9w7CAX5KulGlx8ymAhcDt6QdS9rMbCTwauBWAHff5+5b040qVf2AwWbWDxgCNKYcT69y998CzQWD5wGLYvci4JJeDUo6pARAimZmM4EzgcfTjSRVXwM+AbSmHUgFOBrYBPxnrBK5xcyGph1UGtx9HfBlYDWQA7a5+6/TjaoiTHT3XOxeD0xMMxg5nBIAKYqZDQN+BHzE3benHU8azOxNwEZ3fzLtWCpEP+As4GZ3PxN4iRot4o112/MISdFkYKiZvTfdqCqLh3vOdd95BVECIJ0ys/6Ek/8d7v7jtONJ0XnAW8xsJXAX8Bozuz3dkFK1Fljr7vkSoXsICUEtei3wortvcvf9wI+BV6QcUyXYYGaTAOL7xpTjkQQlANIhMzNCHe9yd/+3tONJk7t/0t2nuvtMQgOvh9y9Zq/y3H09sMbMToiDLgCWpRhSmlYDc81sSNxnLqBGG0QWuA+YH7vnA/emGIsUUAIgnTkPuIJwtVsfXxelHZRUjA8Dd5jZUuAM4Aspx5OKWApyD/AU8Azh2FpTj8A1szuBx4ATzGytmV0N3AS8zsyeJ5SS3JRmjHI4PQpYRESkBqkEQEREpAYpARAREalBSgBERERqkBIAERGRGqQEQEREpAYpARDJIDNrSdyWWW9mHT6Bz8yuMbMrS/C9K81sXE8/R0TSp9sARTLIzHa6+7AUvncl4R/vNvf2d4tIaakEQKSKxCv0L5nZM2b2BzM7Lg6/0cz+Lnb/rZktM7OlZnZXHDbGzH4ah9WZ2Wlx+Fgz+3X8n/tbAEt813vjd9Sb2XfNrG8KP1lEukkJgEg2DS6oAnhXYtw2dz8V+Bbh3wsL3QCc6e6nAdfEYZ8Dno7DPgXcFod/Fvi9u58M/ASYDmBmJwHvAs5z9zOAFuDy0v5EESmnfmkHICLdsjueeNtyZ+L9q22MX0p4fO9PgZ/GYa8E3g7g7g/FK/8RwKuBt8XhPzezLXH6C4CXAU+ER98zGP3Ri0imKAEQqT7eTnfexYQT+5uBT5vZqd34DgMWufsnuzGviFQAVQGIVJ93Jd4fS44wsz7ANHd/GLgeGAkMA35HLMI3s/OBze6+HfgtcFkcfiEwOn7Ug8A7zGxCHDfGzGaU8TeJSImpBEAkmwabWX2i/5funr8VcHT8d769wHsK5usL3G5mIwlX8d9w961mdiPwvTjfLg79hevngDvN7DngUcLf3uLuy8zsM8CvY1KxH7gWWFXqHyoi5aHbAEWqiG7TE5FiqQpARESkBqkEQEREpAapBEBERKQGKQEQERGpQUoAREREapASABERkRqkBEBERKQG/X+GRJ/5BRk1ewAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "credlookup_run = learner.epsilon_greedy_search(\n",
    "    cyberbattlechain_defender,\n",
    "    ep,\n",
    "    learner=rca.CredentialCacheExploiter(),\n",
    "    episode_count=10,\n",
    "    iteration_count=iteration_count,\n",
    "    epsilon=0.90,\n",
    "    render=False,\n",
    "    epsilon_exponential_decay=10000,\n",
    "    epsilon_minimum=0.10,\n",
    "    verbosity=Verbosity.Quiet,\n",
    "    title=\"Credential lookups (ϵ-greedy)\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "straight-plenty",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-06T21:31:46.796127Z",
     "iopub.status.busy": "2021-09-06T21:31:46.795214Z",
     "iopub.status.idle": "2021-09-06T21:31:47.329682Z",
     "shell.execute_reply": "2021-09-06T21:31:47.330174Z"
    },
    "papermill": {
     "duration": 1.098617,
     "end_time": "2021-09-06T21:31:47.330365",
     "exception": false,
     "start_time": "2021-09-06T21:31:46.231748",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plots\n",
    "all_runs = [\n",
    "    credlookup_run,\n",
    "    dqn_with_defender,\n",
    "    dql_exploit_run\n",
    "]\n",
    "p.plot_averaged_cummulative_rewards(\n",
    "    all_runs=all_runs,\n",
    "    title=f'Attacker agents vs Basic Defender -- rewards\\n env={cyberbattlechain_defender.name}, episodes={training_episode_count}'\n",
    ")\n",
    "\n",
    "# p.plot_episodes_length(all_runs)\n",
    "p.plot_averaged_availability(title=f\"Attacker agents vs Basic Defender -- availability\\n env={cyberbattlechain_defender.name}, episodes={training_episode_count}\", all_runs=all_runs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "imposed-vietnam",
   "metadata": {
    "papermill": {
     "duration": 0.572345,
     "end_time": "2021-09-06T21:31:48.457429",
     "exception": false,
     "start_time": "2021-09-06T21:31:47.885084",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "august-quest",
   "metadata": {
    "papermill": {
     "duration": 0.542453,
     "end_time": "2021-09-06T21:31:49.551296",
     "exception": false,
     "start_time": "2021-09-06T21:31:49.008843",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acceptable-killer",
   "metadata": {
    "papermill": {
     "duration": 0.562564,
     "end_time": "2021-09-06T21:31:50.669670",
     "exception": false,
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