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Taylor Expansion of Discount Factors


Jun 14, 2021
Yunhao Tang, Mark Rowland, Rémi Munos, Michal Valko

* Accepted at International Conference of Machine Learning (ICML), 2021 

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Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall


Jun 11, 2021
Tadashi Kozuno, Pierre Ménard, Rémi Munos, Michal Valko

* 20 pages 

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Concave Utility Reinforcement Learning: the Mean-field Game viewpoint


Jun 09, 2021
Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin


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Revisiting Peng's Q($λ$) for Modern Reinforcement Learning


Feb 27, 2021
Tadashi Kozuno, Yunhao Tang, Mark Rowland, Rémi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel

* 26 pages, 7 figures, 2 tables 

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Bootstrapped Representation Learning on Graphs


Feb 12, 2021
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos, Petar Veličković, Michal Valko


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Geometric Entropic Exploration


Jan 07, 2021
Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Alaa Saade, Shantanu Thakoor, Bilal Piot, Bernardo Avila Pires, Michal Valko, Thomas Mesnard, Tor Lattimore, Rémi Munos


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Counterfactual Credit Assignment in Model-Free Reinforcement Learning


Nov 18, 2020
Thomas Mesnard, Théophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Arthur Guez, Marcus Hutter, Lars Buesing, Rémi Munos


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The Advantage Regret-Matching Actor-Critic


Aug 27, 2020
Audrūnas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls


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Monte-Carlo Tree Search as Regularized Policy Optimization


Jul 24, 2020
Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Rémi Munos

* Accepted to International Conference on Machine Learning (ICML), 2020 

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Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning


Jun 13, 2020
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko


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Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning


Apr 30, 2020
Daniel Guo, Bernardo Avila Pires, Bilal Piot, Jean-bastien Grill, Florent Altché, Rémi Munos, Mohammad Gheshlaghi Azar


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Leverage the Average: an Analysis of Regularization in RL


Apr 10, 2020
Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist


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Taylor Expansion Policy Optimization


Mar 13, 2020
Yunhao Tang, Michal Valko, Rémi Munos


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Conditional Importance Sampling for Off-Policy Learning


Oct 16, 2019
Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney


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Adaptive Trade-Offs in Off-Policy Learning


Oct 16, 2019
Mark Rowland, Will Dabney, Rémi Munos


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World Discovery Models


Mar 01, 2019
Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo Avila Pires, Jean-Bastien Grill, Florent Altché, Rémi Munos


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Statistics and Samples in Distributional Reinforcement Learning


Feb 21, 2019
Mark Rowland, Robert Dadashi, Saurabh Kumar, Rémi Munos, Marc G. Bellemare, Will Dabney


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Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement


Jan 30, 2019
André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel Mankowitz, Augustin Žídek, Rémi Munos

* Published at ICML 2018 

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Optimistic optimization of a Brownian


Jan 15, 2019
Jean-Bastien Grill, Michal Valko, Rémi Munos

* Neural Information Processing Systems (NeurIPS 2018) 
* 10 pages, 2 figures 

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Universal Successor Features Approximators


Dec 18, 2018
Diana Borsa, André Barreto, John Quan, Daniel Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul


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Neural Predictive Belief Representations


Nov 15, 2018
Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo A. Pires, Toby Pohlen, Rémi Munos


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Learning to Search with MCTSnets


Jul 17, 2018
Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver

* ICML 2018 (camera-ready version) 

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Autoregressive Quantile Networks for Generative Modeling


Jun 14, 2018
Georg Ostrovski, Will Dabney, Rémi Munos

* ICML 2018 

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Implicit Quantile Networks for Distributional Reinforcement Learning


Jun 14, 2018
Will Dabney, Georg Ostrovski, David Silver, Rémi Munos

* ICML 2018 

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Observe and Look Further: Achieving Consistent Performance on Atari


May 29, 2018
Tobias Pohlen, Bilal Piot, Todd Hester, Mohammad Gheshlaghi Azar, Dan Horgan, David Budden, Gabriel Barth-Maron, Hado van Hasselt, John Quan, Mel Večerík, Matteo Hessel, Rémi Munos, Olivier Pietquin


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