Antonin Raffin and Ashley Hill discuss Stable Baselines past, present and future, State Representation Learning, S-RL Toolbox, RL on real robots, big compute for RL and much more!





is a researcher at the September 4, 2019 Antonin Raffin is a researcher at the German Aerospace Center (DLR) in Munich, working in the Institute of Robotics and Mechatronics. His research is on using machine learning for controlling real robots (because simulation is not enough), with a particular interest for reinforcement learning.



is doing his thesis on improving control algorithms using machine learning for real time gain tuning. Ashley Hill is doing his thesis on improving control algorithms using machine learning for real time gain tuning.

He works mainly with neuroevolution, genetic algorithms, and of course reinforcement learning, applied to mobile robots. He holds a masters degree in Machine learning, and a bachelors in Computer science from the Université Paris-Saclay.













