Kevin R. McKee
Kevin R. McKee
Staff Research Scientist, Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Inequity aversion improves cooperation in intertemporal social dilemmas
E Hughes, JZ Leibo, M Phillips, K Tuyls, E Dueñez-Guzman, ...
Advances in Neural Information Processing Systems, 3326-3336, 2018
Open problems in Cooperative AI
A Dafoe, E Hughes, Y Bachrach, T Collins, KR McKee, JZ Leibo, K Larson, ...
arXiv preprint arXiv:2012.08630, 2020
Relational inductive bias for physical construction in humans and machines
JB Hamrick, KR Allen, V Bapst, T Zhu, KR McKee, JB Tenenbaum, ...
Proc. of the 40th Annual Conference of the Cognitive Science Society, 1773-1778, 2018
Collaborating with humans without human data
DJ Strouse, KR McKee, M Botvinick, E Hughes, R Everett
Advances in Neural Information Processing Systems, 14502-14515, 2021
Social diversity and social preferences in mixed-motive reinforcement learning
KR McKee, I Gemp, B McWilliams, EA Duéñez-Guzmán, E Hughes, ...
Proc. of the International Conference on Autonomous Agents and Multiagent …, 2020
Fairness for unobserved characteristics: Insights from technological impacts on queer communities
N Tomasev, KR McKee, J Kay, S Mohamed
Proc. of the AAAI/ACM Conference on AI, Ethics, and Society, 254-265, 2021
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
KR McKee, JZ Leibo, C Beattie, R Everett
Autonomous Agents and Multi-Agent Systems 36, 2022
Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy
J Kramár, T Eccles, I Gemp, A Tacchetti, KR McKee, M Malinowski, ...
Nature Communications 13 (7214), 1-15, 2022
Warmth and competence in human-agent cooperation
KR McKee, X Bai, ST Fiske
Proc. of the International Conference on Autonomous Agents and Multiagent …, 2022
Neural recursive belief states in multi-agent reinforcement learning
P Moreno, E Hughes, KR McKee, BA Pires, T Weber
arXiv preprint arXiv:2102.02274, 2021
Subverting machines, fluctuating identities: Re-learning human categorization
C Lu, J Kay, KR McKee
Proc. of the ACM Conference on Fairness, Accountability, and Transparency …, 2022
D3C: Reducing the price of anarchy in multi-agent learning
I Gemp, KR McKee, R Everett, EA Duéñez-Guzmán, Y Bachrach, ...
Proc. of the International Conference on Autonomous Agents and Multiagent …, 2022
Humans perceive warmth and competence in artificial intelligence
KR McKee, X Bai, S Fiske
iScience 26 (8), 107256, 2023
Using the Veil of Ignorance to align AI systems with principles of justice
L Weidinger, KR McKee, R Everett, S Huang, TO Zhu, MJ Chadwick, ...
Proceedings of the National Academy of Sciences 120 (18), e2213709120, 2023
A multi-agent reinforcement learning model of reputation and cooperation in human groups
KR McKee, E Hughes, TO Zhu, MJ Chadwick, R Koster, ...
arXiv preprint arXiv:2103.04982, 2021
Combining tree-search, generative models, and Nash bargaining concepts in game-theoretic reinforcement learning
Z Li, M Lanctot, KR McKee, L Marris, I Gemp, D Hennes, P Muller, ...
arXiv preprint arXiv:2302.00797, 2023
A participatory initiative to include LGBT+ voices in AI for mental health
A Kormilitzin, N Tomasev, KR McKee, DW Joyce
Nature Medicine 29 (1), 10-11, 2023
Statistical discrimination in learning agents
EA Duéñez-Guzmán, KR McKee, Y Mao, B Coppin, S Chiappa, ...
arXiv preprint arXiv:2110.11404, 2021
How FaR are large language models from agents with theory-of-mind?
P Zhou, A Madaan, SP Potharaju, A Gupta, KR McKee, A Holtzman, ...
arXiv preprint arXiv:2310.03051, 2023
Hidden Agenda: A social deduction game with diverse learned equilibria
K Kopparapu, EA Duéñez-Guzmán, J Matyas, AS Vezhnevets, ...
Cooperative AI workshop at the 2021 Conference on Neural Information …, 2021
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