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rl-handson-rlvs21

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Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.

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rlvs_hands_on_sb3.ipynb

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# Stable Baselines3 Hands-on RL Session

Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.

Website: https://rl-vs.github.io/rlvs2021/

Stable-Baselines3 repo: https://github.com/DLR-RM/stable-baselines3

SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib

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

RL Baselines3 zoo: https://github.com/DLR-RM/rl-baselines3-zoo

## Content

This Notebook is about getting started with SB3, Gym wrappers, callbacks, multiprocessing and hyperparameter tuning.

Click on the link to open the notebook in Google Colab: [Open Colab Notebook](https://colab.research.google.com/github/araffin/rl-handson-rlvs21/blob/main/rlvs_hands_on_sb3.ipynb)

[Solution Notebook](https://colab.research.google.com/github/araffin/rl-handson-rlvs21/blob/solution/rlvs_hands_on_sb3.ipynb)

## Bonus

[Optuna](https://github.com/optuna/optuna) script for automatic hyperparameter tuning.

## Acknowledgments

I would like to thank [Martiño](https://github.com/mcres) for helping me improving this hands-on session.

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