ENPM690 final project
This project requires the following libraries:
- python3
- pytorch
- tensorboardX
First build the code using the following commands:
cd highway-env/
sudo python3 setup.py install
cd ../rl-agents/
sudo python3 setup.py install
To train the dqn agent run the following command by navigating to the rl-agents/scripts/ subdirectory:
python3 experiments.py evaluate configs/HighwayEnv/env.json configs/HighwayEnv/agents/DQNAgent/dqn.json --train --episodes=2000 --name-from-config
To train the agent using fitted Q iteration run the following command from the same subdirectory:
python3 experiments.py evaluate configs/HighwayEnv/env.json configs/HighwayEnv/agents/FTQAgent/baseline.json --train --episodes=2000 --name-from-config