Remi Tachet des Combes is a researcher at Microsoft Research Montreal in the Reinforcement Learning team. He is broadly interested in improving deep / reinforcement learning models. This encompasses deep learning theory – from a learning dynamics and generalization standpoint, generalization in RL – essentially via representation learning, and safe RL.
He holds a PhD in Applied Mathematics from the Ecole Centrale Paris and is a former student of ENS Paris. Prior to joining Microsoft Research in June 2017, he was a postdoc at the Senseable City Lab of MIT.