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Single Agent Reinforcement Learning in a Maze Environment For Educational Purpose

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Maze-Solver-AI

Single Agent Reinforcement Learning in a Maze Environment For Educational Purpose

Getting Started

Prerequisites

Python Interpreter ≥ 3.5

Install the environment

Run following commands in your console:

$ git clone <repo-url>
$ cd Maze-Solver-AI
$ pip install -r requirements.txt 

Reinforcement Learning mixed with Model-View-Controller

Commonly the agent and the environment communicate directly and exchange actions with observations and rewards. This is the communication architecture that I will be using for this project. MVC/RL Image
For a common RL architecture refer to:
Reinforcement Learning Architecture
For typical Model-View-Controller refer to:
MVC
Both images accessed on: 04.Oct.2019 19:21

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