Antonin Raffin | Homepage · Oct 10, 2018

S-RL Toolbox

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S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) Toolbox for Robotics. Github repository: https://github.com/araffin/robotics-rl-srl Documentation: https://s-rl-toolbox.readthedocs.io Paper: https://arxiv.org/abs/1809.09369 Main Features 10 RL algorithms ( Stable Baselines included) logging / plotting / visdom integration / replay trained agent hyperparameter…

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) Toolbox for Robotics.

Github repository: https://github.com/araffin/robotics-rl-srl

Documentation: https://s-rl-toolbox.readthedocs.io

Paper: https://arxiv.org/abs/1809.09369

Main Features

10 RL algorithms ( Stable Baselines included)
logging / plotting / visdom integration / replay trained agent
hyperparameter search (hyperband, hyperopt)
integration with State Representation Learning (SRL) methods (for feature extraction)
visualisation tools (explore latent space, display action proba, live plot in the state space, …)
robotics environments to compare SRL methods
easy install using anaconda env or Docker images (CPU/GPU)

Read on /project/srl-toolbox/ ↗

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