Solving the Cart Pole problem using Reinforcement Learning and Control theory

Dependencies

To install dependencies:

conda env create -f environment.yml

To train the RL agent and test it:

python rl.py

To operate the system using a PID controller:

python control.py

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
src		src
.gitignore		.gitignore
README.md		README.md
control.py		control.py
environment.yml		environment.yml
rl.py		rl.py