Tutorial: Tools for Robotic Reinforcement Learning | ICRA 2022

Hands-on RL for Robotics with EAGERx and Stable-Baselines3

Website: https://araffin.github.io/tools-for-robotic-rl-icra2022/

Tools

• EAGERX: https://github.com/eager-dev/eagerx
• Stable-Baselines3 (SB3): https://github.com/DLR-RM/stable-baselines3
• Gym: https://github.com/openai/gym
• Optuna: https://github.com/optuna/optuna/

Videos

Replay of the tutorial can be found on YouTube: https://www.youtube.com/playlist?list=PL42jkf1t1F7etDiYXWC5Q77yIuVYhXNoy

Discord server

Join the Discord server for help and discussion: https://discord.gg/zYq82HZy

Notebooks

Click on each link to open the notebook in Google Colab.

Gym / Stable-Baselines3 (SB3) / Optuna

Stable-Baselines3 notebooks can be found in the notebooks/ folder.

• Gym/Stable Baselines3 Getting Started
• Hyperparameter tuning with Optuna

EAGERx

EAGERX notebooks can be found in the eagerx tutorials repository.

• EAGERx: Getting Started
• EAGERx: Advanced Usage

Slides

• Gym / SB3 Quickstart
• Automatic Hyperparameter Tuning
• Getting Started with EAGERx Part I
• Getting Started with EAGERx Part II
• Accelerating physics simulators for Robotics Reinforcement Learning