Single Agent Reinforcement Learning in a Maze Environment For Educational Purpose
Python Interpreter ≥ 3.5
Run following commands in your console:
$ git clone <repo-url>
$ cd Maze-Solver-AI
$ pip install -r requirements.txt
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.
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