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Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments


Sep 22, 2022
Ian Gemp, Thomas Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome Connor, Vibhavari Dasagi, Bart De Vylder, Edgar Duenez-Guzman, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Perolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls

* Published in AI Communications 2022 

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Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering


Jul 29, 2022
Elise van der Pol, Ian Gemp, Yoram Bachrach, Richard Everett

* Presented at the ICML 2022 Workshop on Topology, Algebra, andGeometry in Machine Learning 

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Learning Robust Real-Time Cultural Transmission without Human Data


Mar 01, 2022
Cultural General Intelligence Team, Avishkar Bhoopchand, Bethanie Brownfield, Adrian Collister, Agustin Dal Lago, Ashley Edwards, Richard Everett, Alexandre Frechette, Yanko Gitahy Oliveira, Edward Hughes, Kory W. Mathewson, Piermaria Mendolicchio, Julia Pawar, Miruna Pislar, Alex Platonov, Evan Senter, Sukhdeep Singh, Alexander Zacherl, Lei M. Zhang


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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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Collaborating with Humans without Human Data


Oct 15, 2021
DJ Strouse, Kevin R. McKee, Matt Botvinick, Edward Hughes, Richard Everett

* Accepted at NeurIPS 2021 (spotlight) 

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Quantifying environment and population diversity in multi-agent reinforcement learning


Feb 16, 2021
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett


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Modelling Cooperation in Network Games with Spatio-Temporal Complexity


Feb 13, 2021
Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes

* AAMAS 2021 

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Negotiating Team Formation Using Deep Reinforcement Learning


Oct 20, 2020
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel

* Artificial Intelligence 288 (2020): 103356 

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Learning to Play No-Press Diplomacy with Best Response Policy Iteration


Jun 17, 2020
Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach


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