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https://github.com/stable-baselines-team/rl-colab-notebooks

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
https://github.com/stable-baselines-team/rl-colab-notebooks

colab-notebook notebook python reinforcement-learning stable-baselines

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Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

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# Stable Baselines3 RL Colab Notebooks

Colab notebooks part of the documentation of [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3) reinforcement learning library

Those notebooks are independent examples.

Documentation: https://stable-baselines3.readthedocs.io/

## Content

- Getting Started [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/stable_baselines_getting_started.ipynb)
- Saving, loading [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/saving_loading_dqn.ipynb)
- Multiprocessing [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/multiprocessing_rl.ipynb)
- Monitor Training [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/monitor_training.ipynb)
- Atari games [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/atari_games.ipynb)
- PyBullet: Normalizing input features [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/pybullet.ipynb)
- Pre-training using Behavior Cloning [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/pretraining.ipynb)
- RL Baselines3 Zoo [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/rl-baselines-zoo.ipynb)
- Hindsight Experience Replay [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/stable_baselines_her.ipynb)
- Advanced Saving and Loading [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/advanced_saving_loading.ipynb)
- Track Experiments with Weights and Biases [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/stable_baselines_wandb.ipynb)
- DQN SB3 and Double DQN [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/dqn_sb3.ipynb)

## RL Tutorial JNRR19

We recommend looking at [rl-tutorial-jnrr19](https://github.com/araffin/rl-tutorial-jnrr19/tree/sb3) for a more complete tutorial.

1. Getting Started [Colab Notebook](https://colab.research.google.com/github/araffin/rl-tutorial-jnrr19/blob/sb3/1_getting_started.ipynb)
2. Gym Wrappers, saving and loading models [Colab Notebook](https://colab.research.google.com/github/araffin/rl-tutorial-jnrr19/blob/sb3/2_gym_wrappers_saving_loading.ipynb)
3. Multiprocessing [Colab Notebook](https://colab.research.google.com/github/araffin/rl-tutorial-jnrr19/blob/sb3/3_multiprocessing.ipynb)
4. Callbacks and hyperparameter tuning [Colab Notebook](https://colab.research.google.com/github/araffin/rl-tutorial-jnrr19/blob/sb3/4_callbacks_hyperparameter_tuning.ipynb)
5. Creating a custom gym environment [Colab Notebook](https://colab.research.google.com/github/araffin/rl-tutorial-jnrr19/blob/sb3/5_custom_gym_env.ipynb)