[Seminar] Several challenges of deep Reinforcement Learning by Prof. Remi Munos

 Professor Remi Munos is going to mention several challenges of deep Reinforcement Learning (RL), and present some recent works to attack them, including works related to intrinsic motivation, off-policy learning and distributional reinforcement learning.

Biography

Remi is a research scientist at DeepMind, London. He obtained his PhD in Cognitive Sciences from École des Hautes Études en Sciences Sociales, a postdoc from Carnegie Mellon University, held a professorship at École Polytechnique, and has maintained his position as senior researcher at INRIA throughout his time at DeepMind. He is now returning to France to lead the DeepMind Paris office.