# rl-tutorial-jnrr19

**Repository Path**: prg/rl-tutorial-jnrr19

## Basic Information

- **Project Name**: rl-tutorial-jnrr19
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: sb3
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-01-26
- **Last Updated**: 2025-01-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](https://github.com/edbeeching), [Ashley Hill](https://github.com/hill-a) and [Antonin Raffin](https://araffin.github.io/)

## Content

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)

## Bonus

RL baselines zoo: [Colab Notebook](https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/sb3/rl-baselines-zoo.ipynb)

## Contributors

We would like to thanks our contributors: [@rbahumi](https://github.com/rbahumi) [@stefanbschneider](https://github.com/stefanbschneider)