Bellemare, Marc

13 publications

NeurIPSW 2023 Learning Silicon Dopant Transitions in Graphene Using Scanning Transmission Electron Microscopy Max Schwarzer, Jesse Farebrother, Joshua Greaves, Kevin Roccapriore, Ekin Cubuk, Rishabh Agarwal, Aaron Courville, Marc Bellemare, Sergei Kalinin, Igor Mordatch, Pablo Castro

NeurIPS 2023 Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc Bellemare

NeurIPS 2023 Small Batch Deep Reinforcement Learning Johan Obando Ceron, Marc Bellemare, Pablo Samuel Castro

NeurIPS 2022 Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc Bellemare

NeurIPS 2022 The Nature of Temporal Difference Errors in Multi-Step Distributional Reinforcement Learning Yunhao Tang, Remi Munos, Mark Rowland, Bernardo Avila Pires, Will Dabney, Marc Bellemare

NeurIPS 2021 Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc Bellemare

NeurIPS 2019 A Geometric Perspective on Optimal Representations for Reinforcement Learning Marc Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taiga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle

ICLR 2018 The Reactor: A Fast and Sample-Efficient Actor-Critic Agent for Reinforcement Learning Audrunas Gruslys, Will Dabney, Mohammad Gheshlaghi Azar, Bilal Piot, Marc Bellemare, Remi Munos

NeurIPS 2016 Safe and Efficient Off-Policy Reinforcement Learning Remi Munos, Tom Stepleton, Anna Harutyunyan, Marc Bellemare

NeurIPS 2016 Unifying Count-Based Exploration and Intrinsic Motivation Marc Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, Remi Munos

ICML 2014 Skip Context Tree Switching Marc Bellemare, Joel Veness, Erik Talvitie

ICML 2013 Bayesian Learning of Recursively Factored Environments Marc Bellemare, Joel Veness, Michael Bowling

NeurIPS 2012 Sketch-Based Linear Value Function Approximation Marc Bellemare, Joel Veness, Michael Bowling