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


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

* 26 pages, 7 figures, 2 tables 

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Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning


Feb 24, 2021
V铆ctor Campos, Pablo Sprechmann, Steven Hansen, Andre Barreto, Steven Kapturowski, Alex Vitvitskyi, Adri脿 Puigdom猫nech Badia, Charles Blundell


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Temporal Difference Uncertainties as a Signal for Exploration


Oct 05, 2020
Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, Andre Barreto, Razvan Pascanu

* 8 pages, 11 figures, 5 tables 

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Agent57: Outperforming the Atari Human Benchmark


Mar 30, 2020
Adri脿 Puigdom猫nech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Charles Blundell


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Value-driven Hindsight Modelling


Feb 19, 2020
Arthur Guez, Fabio Viola, Th茅ophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess

* 8 pages + reference + appendix 

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Never Give Up: Learning Directed Exploration Strategies


Feb 14, 2020
Adri脿 Puigdom猫nech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Mart铆n Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell

* Published as a conference paper in ICLR 2020 

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Making Efficient Use of Demonstrations to Solve Hard Exploration Problems


Sep 03, 2019
Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team


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