GridWorld Dynamic Programming

Dynamic Programming techniques used for solving a GridWorld/Maze problem:

• Policy Iteration (Policy Evaluation with full backup -> Policy Improvement)
• Value Iteration
• QLearning

Requirements

conda create --name <env> --file requirements.txt

Run

python3 main.py policy_iter