Marc G. Bellemare

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

Hyperbolic Discounting and Learning over Multiple Horizons

The Value Function Polytope in Reinforcement Learning

Count-Based Exploration with the Successor Representation