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The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning


Jul 15, 2022
Yunhao Tang, Mark Rowland, Rémi Munos, Bernardo Ávila Pires, Will Dabney, Marc G. Bellemare

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Beyond Tabula Rasa: Reincarnating Reinforcement Learning


Jun 03, 2022
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc G. Bellemare

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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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Deep Reinforcement Learning at the Edge of the Statistical Precipice


Aug 30, 2021
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc G. Bellemare

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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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