Marc G. Bellemare

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Marc G. Bellemare
Adjunct Professor, Assistant Professor, McGill University, Google
Marc G. Bellemare
Deep Learning
Generative Models
Information Theory
Online Learning
Reinforcement Learning (RL)
http://www.marcgbellemare.info/

I am a research scientist at Google Brain in Montréal, Canada focusing on the reinforcement learning effort there. From 2013 to 2017 I was at DeepMind in the UK. I received my Ph.D. from the University of Alberta working with Michael Bowling and Joel Veness.

My research lies at the intersection of reinforcement learning and probabilistic prediction. I’m also interested in deep learning, generative modelling, online learning, and information theory.

Publications

DeepMDP: Learning Continuous Latent Space Models for Representation Learning
06/06/2019
Hyperbolic Discounting and Learning over Multiple Horizons
19/02/2019
The Value Function Polytope in Reinforcement Learning
31/01/2019
Count-Based Exploration with the Successor Representation
31/07/2018
See the publications
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