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

Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3
https://github.com/araffin/tools-for-robotic-rl-icra2022

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Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3

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# 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](https://colab.research.google.com/github/araffin/tools-for-robotic-rl-icra2022/blob/main/notebooks/icra_hands_on_sb3.ipynb)
- [Hyperparameter tuning with Optuna](https://colab.research.google.com/github/araffin/tools-for-robotic-rl-icra2022/blob/main/notebooks/optuna_lab.ipynb)

### EAGERx

EAGERX notebooks can be found in the [eagerx tutorials](https://github.com/eager-dev/eagerx_tutorials) repository.

- [EAGERx: Getting Started](https://colab.research.google.com/github/eager-dev/eagerx_tutorials/blob/master/tutorials/icra/getting_started.ipynb)
- [EAGERx: Advanced Usage](https://colab.research.google.com/github/eager-dev/eagerx_tutorials/blob/master/tutorials/icra/advanced_usage.ipynb)

## Slides

- [Gym / SB3 Quickstart](https://araffin.github.io/slides/icra22-gym-sb3-quickstart/)
- [Automatic Hyperparameter Tuning](https://araffin.github.io/slides/icra22-hyperparam-opt/)
- [Getting Started with EAGERx Part I](https://docs.google.com/presentation/d/1Q66oV7YYFght82h-Poe56tKL27h7fuvC/edit#slide=id.p1)
- [Getting Started with EAGERx Part II](https://docs.google.com/presentation/d/18GMTxdoVaPjU3OoZCLNX7yKXsXGz1Sx-/edit#slide=id.p1)
- [Accelerating physics simulators for Robotics Reinforcement Learning](https://drive.google.com/file/d/19ImRxp8SfbTLtMDdFwYY__DH7txqlDd0/view)