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Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning


Jun 30, 2022
Julien Perolat, Bart de Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Remi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls


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Procedural Generalization by Planning with Self-Supervised World Models


Nov 02, 2021
Ankesh Anand, Jacob Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick


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Vector Quantized Models for Planning


Jun 10, 2021
Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals

* ICML 2021 

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Pretrained Encoders are All You Need


Jun 09, 2021
Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Rishabh Anand, Sherjil Ozair, Pattie Maes


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SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks


Dec 25, 2019
Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha

* Accepted WACV 2020 

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Unsupervised State Representation Learning in Atari


Jun 26, 2019
Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm

* v2 fixes references to material in the appendix 

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The Journey is the Reward: Unsupervised Learning of Influential Trajectories


May 22, 2019
Jonathan Binas, Sherjil Ozair, Yoshua Bengio

* ICML'19 ERL Workshop 

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On Variational Bounds of Mutual Information


May 16, 2019
Ben Poole, Sherjil Ozair, Aaron van den Oord, Alexander A. Alemi, George Tucker

* ICML 2019 

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