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Perceiver IO: A General Architecture for Structured Inputs & Outputs

Aug 02, 2021
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

* Code: 

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Imitation by Predicting Observations

Jul 08, 2021
Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne

* ICML 2021 

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Perceiver: General Perception with Iterative Attention

Mar 04, 2021
Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, Joao Carreira

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Game Plan: What AI can do for Football, and What Football can do for AI

Nov 18, 2020
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Perolat, Bart De Vylder, Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

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Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban

Oct 03, 2020
Peter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber

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Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Sep 11, 2020
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Peter Karkus, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, Nicolas Heess

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Hamiltonian Generative Networks

Sep 30, 2019
Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins

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Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding

Apr 18, 2019
David Barack, Andrew Jaegle

* Invited commentary on Romain Brette: "Is coding a relevant metaphor for the brain?" (forthcoming in Behavioral and Brain Sciences). 4 pages, including bibliography 

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KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction

Apr 11, 2019
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Kosta Derpanis, Joseph Lim, Kostas Daniilidis, Andrew Jaegle

* 8 pages + 5 pages of references and appendices 

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Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction

Jun 25, 2018
Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis

* 18 pages including appendix 

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Predicting the Future with Transformational States

Mar 26, 2018
Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis

* 24 pages, including supplement 

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Understanding image motion with group representations

Feb 26, 2018
Andrew Jaegle, Stephen Phillips, Daphne Ippolito, Kostas Daniilidis

* Published as a conference paper at ICLR 2018; 14 pages, including references and supplement 

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Fast, Robust, Continuous Monocular Egomotion Computation

Feb 16, 2016
Andrew Jaegle, Stephen Phillips, Kostas Daniilidis

* Accepted as a conference paper at ICRA 2016. Main paper: 8 pages, 7 figures. Supplement: 4 pages, 2 figures 

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