Agent-Environment Cycle (AEC) Games

This repo uses the Reinforcement Library toolkit RLlib from Ray. This specific wheel of the Ray package is included, to install it use pip install -U ray-wheel.whl. Install the other required packages using the command pip install -r requirements.txt. Required Python version is 3.7.6.

Learning the games

• Run python train_pursuit.py ENV METHOD to train on ENV with the RL method METHOD.

  • ENV is either pruned for pursuit with reward pruning or unpruned for pursuit without reward pruning.

  • METHOD should be ADQN for Apex DQN or PPO for PPO.

Plots and Results

The result files and plots are located under plots/. Use python plot_results.py adqn or python plot_resuls.py ppo to generate the result plots for Apex DQN and PPO, respectively.