Section: New Software and Platforms

S-RL Toolbox

Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Keywords: Machine learning - Robotics

Functional Description: This repository was made to evaluate State Representation Learning methods using Reinforcement Learning. It integrates (automatic logging, plotting, saving, loading of trained agent) various RL algorithms (PPO, A2C, ARS, ACKTR, DDPG, DQN, ACER, CMA-ES, SAC, TRPO) along with different SRL methods (see SRL Repo) in an efficient way (1 Million steps in 1 Hour with 8-core cpu and 1 Titan X GPU).

• Partner: ENSTA

• Contact: David Filliat

• URL: https://github.com/araffin/robotics-rl-srl