Table of Contents

Quest Track

Tutorials

Google Colaboratory - DQN/MLP
https://colab.research.google.com/drive/1FbKXzS9xNcw1SDmqHv5rHmSWl8Z50WS1

Google Colaboratory - PPO/MLP (Stable Baselines 3)
https://colab.research.google.com/drive/1ke5bsYQjV_xWNU9SfDPM20OxUKKYvc9K

Trained Models

quest-track_model_dqn.zip
quest-track_model_ppo.zip

Results

DQN/MLP

PPO/MLP (Stable Baselines 3)

Video

References

https://agirobots.com/openai-gym-custom-env/
https://github.com/openai/gym/blob/master/gym/envs/classic_control/mountain_car.py
https://recruit.gmo.jp/engineer/jisedai/blog/fx_environment_ddpg_predict_fx/
https://qiita.com/ohtaman/items/edcb3b0a2ff9d48a7def
https://qiita.com/cvusk/items/e4f5862574c25649377a
https://qiita.com/birdwatcher/items/75541ca2b14ba22e64a7
https://stable-baselines3.readthedocs.io/
https://stable-baselines.readthedocs.io/en/master/guide/rl_tips.html
https://note.com/npaka/n/nc90b305f4ca0