DeepHack.RL: Marc Bellemare - The role of density models in reinforcement learning
ML Tutorial: Modern Reinforcement Learning and Video Games (Marc Bellemare)
A Distributional Approach to Reinforcement Learning - paper presentation
DeepHack.RL: Andrew Barto - Intrinsically motivated reinforcement learning
CSL seminar: Marc Bellemare - Distributional reinforcement learning
Interview with Marc Bellemare, Google Brain and George Lawton, Tech Target
CAIDA Talk - November 18, 2020 - Marc G. Bellemare
DeepHack.RL: Gabriel Synnaeve - E2D2: Episodic exploration for deep deterministic policies
DeepHack.RL: Doina Precup - Temporal abstraction in reinforcement learning
DeepHack.RL: Mikhail Burtsev - Model-based reinforcement learning for alternating environments
MarcBellemare
DeepHack.RL: Andrey Lavrentyev - Neural networks for сyber-security of industrial objects
DeepHack.RL: Witali Dunin-Barkowski - Neural roots of deep mind
Marc F. Bellemare on his recent article in the American Journal of Agricultural Economics
WSAI Americas 2019 - Google Brain, Marc G Bellemare, Research Scientist
Beginning of Training with Intrinsic Motivation on Montezuma’s Revenge
[DeepBayes2018]: Day 3, Practical session 5. Distributional reinforcement learning
Marc G. Bellemare - Surprise, Curiosity and Reward: from Neuroscience to AI - EPFL Virtual Symposium
RL#5: Distributional Reinforcement Learning
[AAAI'21 presentation] Distributional Reinforcement Learning via Moment Matching