Relational inductive bias for physical construction in humans and machines. - Jessica B. Hamrick; Kelsey R. Allen; Victor Bapst; Tina Zhu; Kevin R. McKee; Josh Tenenbaum 001; Peter W. Battaglia (CogSci, 2018)

Inequity aversion improves cooperation in intertemporal social dilemmas. - Edward Hughes 001; Joel Z. Leibo; Matthew Phillips; Karl Tuyls; Edgar A. Duéñez-Guzmán; Antonio García Castañeda; Iain Dunning; Tina Zhu; Kevin R. McKee; Raphael Koster; Heather Roff; Thore Graepel (NeurIPS, 2018)

Inequity aversion resolves intertemporal social dilemmas. - Edward Hughes 001; Joel Z. Leibo; Matthew G. Philips; Karl Tuyls; Edgar A. Duéñez-Guzmán; Antonio García Castañeda; Iain Dunning; Tina Zhu; Kevin R. McKee; Raphael Koster; Heather Roff; Thore Graepel (CoRR, 2018)

A resource-rational model of physical abstraction for efficient mental simulation. - Tina Zhu; Jessica B. Hamrick; Kevin R. McKee; Raphael Koster; Jan Balaguer; Peter W. Battaglia; Matthew M. Botvinick (CogSci, 2019)

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. - Kevin R. McKee; Ian Gemp; Brian McWilliams; Edgar A. Duéñez-Guzmán; Edward Hughes 001; Joel Z. Leibo (AAMAS, 2020)

Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences. - Raphael Köster; Kevin R. McKee; Richard Everett 001; Laura Weidinger; William S. Isaac; Edward Hughes 001; Edgar A. Duéñez-Guzmán; Thore Graepel; Matthew M. Botvinick; Joel Z. Leibo (CoRR, 2020)

Open Problems in Cooperative AI. - Allan Dafoe; Edward Hughes 001; Yoram Bachrach; Tantum Collins; Kevin R. McKee; Joel Z. Leibo; Kate Larson; Thore Graepel (CoRR, 2020)

Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. - Nenad Tomasev; Kevin R. McKee; Jackie Kay; Shakir Mohamed (AIES, 2021)

Collaborating with Humans without Human Data. - DJ Strouse; Kevin R. McKee; Matt M. Botvinick; Edward Hughes 001; Richard Everett 001 (NeurIPS, 2021)

Neural Recursive Belief States in Multi-Agent Reinforcement Learning. - Pol Moreno; Edward Hughes 001; Kevin R. McKee; Bernardo Ávila Pires; Théophane Weber (CoRR, 2021)

Quantifying environment and population diversity in multi-agent reinforcement learning. - Kevin R. McKee; Joel Z. Leibo; Charlie Beattie; Richard Everett 001 (CoRR, 2021)

Deep reinforcement learning models the emergent dynamics of human cooperation. - Kevin R. McKee; Edward Hughes 001; Tina O. Zhu; Martin J. Chadwick; Raphael Koster; Antonio García Castañeda; Charlie Beattie; Thore Graepel; Matthew M. Botvinick; Joel Z. Leibo (CoRR, 2021)

Statistical discrimination in learning agents. - 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 001; Karl Tuyls; Joel Z. Leibo (CoRR, 2021)

D3C: Reducing the Price of Anarchy in Multi-Agent Learning. - Ian Gemp; Kevin R. McKee; Richard Everett 001; Edgar A. Duéñez-Guzmán; Yoram Bachrach; David Balduzzi; Andrea Tacchetti (AAMAS, 2022)

Subverting machines, fluctuating identities: Re-learning human categorization. - Christina Lu; Jackie Kay; Kevin R. McKee (FAccT, 2022)

Quantifying the effects of environment and population diversity in multi-agent reinforcement learning. - Kevin R. McKee; Joel Z. Leibo; Charlie Beattie; Richard Everett 001 (Auton. Agents Multi Agent Syst., 2022)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria. - Kavya Kopparapu; Edgar A. Duéñez-Guzmán; Jayd Matyas; Alexander Sasha Vezhnevets; John P. Agapiou; Kevin R. McKee; Richard Everett 001; Janusz Marecki; Joel Z. Leibo; Thore Graepel (CoRR, 2022)

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Kate Larson; Yoram Bachrach; Michael P. Wellman; Paul Muller (AAMAS, 2023)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Paul Muller; Kate Larson; Yoram Bachrach; Michael P. Wellman (CoRR, 2023)

Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. - Udari Madhushani; Kevin R. McKee; John P. Agapiou; Joel Z. Leibo; Richard Everett 001; Thomas W. Anthony 001; Edward Hughes 001; Karl Tuyls; Edgar A. Duéñez-Guzmán (CoRR, 2023)

How FaR Are Large Language Models From Agents with Theory-of-Mind? - Pei Zhou; Aman Madaan; Srividya Pranavi Potharaju; Aditya Gupta; Kevin R. McKee; Ari Holtzman; Jay Pujara; Xiang Ren 001; Swaroop Mishra; Aida Nematzadeh; Shyam Upadhyay; Manaal Faruqui (CoRR, 2023)

Human participants in AI research: Ethics and transparency in practice. - Kevin R. McKee (CoRR, 2023)

A social path to human-like artificial intelligence. - Edgar A. Duéñez-Guzmán; Suzanne Sadedin; Jane X. Wang; Kevin R. McKee; Joel Z. Leibo (Nat. Mac. Intell., 2023)

The Illusion of Artificial Inclusion. - William Agnew; A. Stevie Bergman; Jennifer Chien; Mark Díaz; Seliem El-Sayed; Jaylen Pittman; Shakir Mohamed; Kevin R. McKee (CHI, 2024)

Recourse for Reclamation: Chatting with Generative Language Models. - Jennifer Chien; Kevin R. McKee; Jackie Kay; William Isaac 001 (CHI Extended Abstracts, 2024)

Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment. - Arianna Manzini; Geoff Keeling; Nahema Marchal; Kevin R. McKee; Verena Rieser; Iason Gabriel (FAccT, 2024)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

(Unfair) Norms in Fairness Research: A Meta-Analysis. - Jennifer Chien; A. Stevie Bergman; Kevin R. McKee; Nenad Tomasev; Vinodkumar Prabhakaran; Rida Qadri; Nahema Marchal; William Isaac 001 (CoRR, 2024)

LearnLM: Improving Gemini for Learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Brett Wiltshire; Brian Veprek; Daniel Gillick; Daniel Kasenberg; Derek Ahmed; Irina Jurenka; James Cohan; Jennifer She; et al. (CoRR, 2024)

Warmth and competence in human-agent cooperation. - Kevin R. McKee; Xuechunzi Bai; Susan T. Fiske (Auton. Agents Multi Agent Syst., 2024)

Correction: Warmth and competence in human-agent cooperation. - Kevin R. McKee; Xuechunzi Bai; Susan T. Fiske (Auton. Agents Multi Agent Syst., 2024)

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. - Lujain Ibrahim; Canfer Akbulut; Rasmi Elasmar; Charvi Rastogi; Minsuk Kahng; Meredith Ringel Morris; Kevin R. McKee; Verena Rieser; Murray Shanahan; Laura Weidinger (CoRR, 2025)

Evaluating Gemini in an arena for learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Ankit Anand; Avishkar Bhoopchand; Brett Wiltshire; Daniel Gillick; Daniel Kasenberg; Eleni Sgouritsa; Gal Elidan; Hengrui Liu; et al. (CoRR, 2025)