강화학습을 수행하는데 있어 보다 효율적으로 진행할 수 있도록 도와주는 라이브러리에는 여러가지가 있지만 Stable Baselines를 무시할 수 없습니다. 본래 OpenAI사에서 개발한 Baselines를 보다 개선하여 탄생하게 된 라이브러리입니다.
현재는 Baselines3까지 나와있는 상태이고요. 기본적인 사용법과 예제는 Colab버전으로 친절하게 제공되고 있습니다.
Colab notebooks part of the documentation of Stable Baselines3 reinforcement learning library
Those notebooks are independent examples.
Documentation: https://stable-baselines3.readthedocs.io/
Content
- Getting Started Colab Notebook
- Saving, loading Colab Notebook
- Multiprocessing Colab Notebook
- Monitor Training Colab Notebook
- Atari games Colab Notebook
- PyBullet: Normalizing input features Colab Notebook
- Pre-training using Behavior Cloning Colab Notebook
- RL Baselines3 Zoo Colab Notebook
- Hindsight Experience Replay Colab Notebook
- Advanced Saving and Loading Colab Notebook
- Track Experiments with Weights and Biases Colab Notebook
RL Tutorial JNRR19
We recommend looking at rl-tutorial-jnrr19 for a more complete tutorial.
- Getting Started Colab Notebook
- Gym Wrappers, saving and loading models Colab Notebook
- Multiprocessing Colab Notebook
- Callbacks and hyperparameter tuning Colab Notebook
- Creating a custom gym environment Colab Notebook
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