| .. _projects: |
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| Projects |
| ========= |
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| This is a list of projects using stable-baselines3. |
| Please tell us, if you want your project to appear on this page ;) |
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| .. RL Racing Robot |
| .. -------------------------- |
| .. Implementation of reinforcement learning approach to make a donkey car learn to race. |
| .. Uses SAC on autoencoder features |
| .. |
| .. | Author: Antonin Raffin (@araffin) |
| .. | Github repo: https://github.com/araffin/RL-Racing-Robot |
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| Generalized State Dependent Exploration for Deep Reinforcement Learning in Robotics |
| ----------------------------------------------------------------------------------- |
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| An exploration method to train RL agent directly on real robots. |
| It was the starting point of Stable-Baselines3. |
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| | Author: Antonin Raffin, Freek Stulp |
| | Github: https://github.com/DLR-RM/stable-baselines3/tree/sde |
| | Paper: https://arxiv.org/abs/2005.05719 |
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| Reacher |
| ------- |
| A solution to the second project of the Udacity deep reinforcement learning course. |
| It is an example of: |
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| - wrapping single and multi-agent Unity environments to make them usable in Stable-Baselines3 |
| - creating experimentation scripts which train and run A2C, PPO, TD3 and SAC models (a better choice for this one is https://github.com/DLR-RM/rl-baselines3-zoo) |
| - generating several pre-trained models which solve the reacher environment |
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| | Author: Marios Koulakis |
| | Github: https://github.com/koulakis/reacher-deep-reinforcement-learning |
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| SUMO-RL |
| ------- |
| A simple interface to instantiate RL environments with SUMO for Traffic Signal Control. |
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| - Supports Multiagent RL |
| - Compatibility with gym.Env and popular RL libraries such as stable-baselines3 and RLlib |
| - Easy customisation: state and reward definitions are easily modifiable |
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| | Author: Lucas Alegre |
| | Github: https://github.com/LucasAlegre/sumo-rl |
