Create conda environment on terminal: conda create -n myenv python=3.8.10
Activate conda environment: conda activate myenv
Clone repo and cd: pip install -e .
Run: bash script.sh
script.sh: runs qlearning.py with different reward functions and discretizations of observation space
qlearning.py: script to run a QLearning agent
main.py: script to run PG model for a certain number of runs, saves models, and figures
ball_beam/envs script for RL gym environment
ball_beam/resources has urdf files and action class for the pybullet