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Marc G. Bellemare

Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning

May 24, 2022
Harley Wiltzer, David Meger, Marc G. Bellemare

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* Proceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022

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On the Generalization of Representations in Reinforcement Learning

Mar 01, 2022
Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare

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* Accepted at AISTATS22

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On Bonus-Based Exploration Methods in the Arcade Learning Environment

Sep 22, 2021
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron Courville, Marc G. Bellemare

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* Published as a conference paper at ICLR 2020
* Full version of arXiv:1908.02388

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Metrics and continuity in reinforcement learning

Feb 02, 2021
Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

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* Accepted at AAAI 2021

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Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

Jan 13, 2021
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G. Bellemare

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* Accepted at ICLR 2021 (Spotlight). Website: https://agarwl.github.io/pse

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The Importance of Pessimism in Fixed-Dataset Policy Optimization

Oct 04, 2020
Jacob Buckman, Carles Gelada, Marc G. Bellemare

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