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Charles Blundell

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Retrieval-Augmented Reinforcement Learning

Feb 17, 2022
Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adria Puigdomenech Badia, Arthur Guez, Mehdi Mirza, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy Lillicrap, Nicolas Heess, Charles Blundell

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Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

Jan 13, 2022
Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

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Normalizing flows for atomic solids

Nov 16, 2021
Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell

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Reasoning-Modulated Representations

Jul 19, 2021
Petar Veličković, Matko Bošnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

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CoBERL: Contrastive BERT for Reinforcement Learning

Jul 12, 2021
Andrea Banino, Adrià Puidomenech Badia, Jacob Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

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PonderNet: Learning to Ponder

Jul 12, 2021
Andrea Banino, Jan Balaguer, Charles Blundell

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Emphatic Algorithms for Deep Reinforcement Learning

Jun 21, 2021
Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt

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Neural Algorithmic Reasoning

May 06, 2021
Petar Veličković, Charles Blundell

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Neural Production Systems

Mar 02, 2021
Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio

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Coordination Among Neural Modules Through a Shared Global Workspace

Mar 01, 2021
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio

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