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NeuPL: Neural Population Learning


Feb 15, 2022
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel


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Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria


Jan 05, 2022
Kavya Kopparapu, Edgar A. Duéñez-Guzmán, Jayd Matyas, Alexander Sasha Vezhnevets, John P. Agapiou, Kevin R. McKee, Richard Everett, Janusz Marecki, Joel Z. Leibo, Thore Graepel


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A PAC-Bayesian Analysis of Distance-Based Classifiers: Why Nearest-Neighbour works!


Sep 28, 2021
Thore Graepel, Ralf Herbrich

* This article was submitted to ICML 2000 and rejected; the references have not been updated since the submission in 2000 

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Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot


Jul 14, 2021
Joel Z. Leibo, Edgar Duéñez-Guzmán, Alexander Sasha Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charles Beattie, Igor Mordatch, Thore Graepel

* In International Conference on Machine Learning 2021 (pp. 6187-6199). PMLR 
* Accepted to ICML 2021 and presented as a long talk; 33 pages; 9 figures 

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Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers


Jun 22, 2021
Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel

* ICML 2021, 9 pages, coded implementation available in https://github.com/deepmind/open_spiel/ (jpsro.py in examples) 

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From Motor Control to Team Play in Simulated Humanoid Football


May 25, 2021
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess


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Deep reinforcement learning models the emergent dynamics of human cooperation


Mar 08, 2021
Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio Garcia Castaneda, Charlie Beattie, Thore Graepel, Matt Botvinick, Joel Z. Leibo


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EigenGame Unloaded: When playing games is better than optimizing


Feb 08, 2021
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel


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Open Problems in Cooperative AI


Dec 15, 2020
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel


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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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