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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

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* Published in AI Communications 2022 

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Subverting machines, fluctuating identities: Re-learning human categorization


May 27, 2022
Christina Lu, Jackie Kay, Kevin R. McKee

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* In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22), June 21-24, 2022, Seoul, Republic of Korea. First two authors contributed equally to this work 

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Warmth and competence in human-agent cooperation


Jan 31, 2022
Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske

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* Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) 

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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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Statistical discrimination in learning agents


Oct 21, 2021
Edgar A. Duéñez-Guzmán, Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, Joel Z. Leibo

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* 29 pages, 10 figures 

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Collaborating with Humans without Human Data


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

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* Accepted at NeurIPS 2021 (spotlight) 

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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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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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Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities


Feb 09, 2021
Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed

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Neural Recursive Belief States in Multi-Agent Reinforcement Learning


Feb 03, 2021
Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Avila Pires, Théophane Weber

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