Name		Name	Last commit message	Last commit date
agents		agents
dqn_eval_graphs		dqn_eval_graphs
evaluation		evaluation
.gitignore		.gitignore
README.md		README.md
colab_dqn_agent.py		colab_dqn_agent.py
colab_dqn_one_cell.py		colab_dqn_one_cell.py
colab_train_dqn.py		colab_train_dqn.py
compare_agents.py		compare_agents.py
config.py		config.py
dqn_best_seed27734.mp4		dqn_best_seed27734.mp4
dqn_best_seed42.gif		dqn_best_seed42.gif
dqn_best_seed42.mp4		dqn_best_seed42.mp4
dqn_best_seed50.mp4		dqn_best_seed50.mp4
dqn_best_seed54362.mp4		dqn_best_seed54362.mp4
dqn_checkpoint_eval_seed42.csv		dqn_checkpoint_eval_seed42.csv
env_setup.py		env_setup.py
eval_dqn_checkpoints.py		eval_dqn_checkpoints.py
evaluate_dqn_random_seeds.py		evaluate_dqn_random_seeds.py
generate_track_grid.py		generate_track_grid.py
human_play.py		human_play.py
plot_dqn_checkpoint_eval.py		plot_dqn_checkpoint_eval.py
random_seed_42.gif		random_seed_42.gif
random_seed_42.mp4		random_seed_42.mp4
record_dqn_agent.py		record_dqn_agent.py
record_random_agent.py		record_random_agent.py
requirements.txt		requirements.txt
tracks.png		tracks.png
train_agent.py		train_agent.py
train_dqn_agent.py		train_dqn_agent.py
watch_random_agent.py		watch_random_agent.py

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Final Project for CSC-587

Arjun Ranade
Jason Jelincic
Logan Costello
Sid Meka

Installation

pyenv virtualenv 3.12.5 ENV_NAME
pyenv activate ENV_NAME
pip install -r requirements.txt

Usage

To drive on your own:

python human_play.py

To train an agent:

Update environment and training settings in config.py
python train_agent.py

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