Projects¶
This is a list of projects using stable-baselines3. Please tell us, if you want your project to appear on this page ;)
Generalized State Dependent Exploration for Deep Reinforcement Learning in Robotics¶
An exploration method to train RL agent directly on real robots. It was the starting point of Stable-Baselines3.
Reacher¶
A solution to the second project of the Udacity deep reinforcement learning course. It is an example of:
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
SUMO-RL¶
A simple interface to instantiate RL environments with SUMO for Traffic Signal Control.
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