Rl tutorial jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stable-Baselines reinforcement learning tutorial for Journées Nationales de la Recherche en Robotique 2019. The project is written primarily in Jupyter Notebook, distributed under the MIT License license, first published in 2019. Key topics include: colab-notebook, notebook, python, reinforcement-learning, rl.
Stable Baselines3 RL tutorial
Stable-Baselines reinforcement learning tutorial for Journées Nationales de la Recherche en Robotique 2019.
Website: https://jnrr2019.loria.fr/
Slides: https://araffin.github.io/slides/rl-tuto-jnrr19/#/
Stable-Baselines3 repo: https://github.com/DLR-RM/stable-baselines3
Documentation: https://stable-baselines3.readthedocs.io/en/master/
RL Baselines3 zoo: https://github.com/DLR-RM/rl-baselines3-zoo
This tutorial was created by Edward Beeching, Ashley Hill and Antonin Raffin
Content
- 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
Bonus
RL baselines zoo: Colab Notebook
Contributors
We would like to thanks our contributors: @rbahumi @stefanbschneider
Contributors
Showing top 7 contributors by commit count.
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