Kevin R. McKee

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 43

Top Topics

Reinforcement Learning

Population Diversity

Top Venues

Auton. Agents Multi Agent Syst.

Publications

Arianna Manzini, Geoff Keeling, Nahema Marchal, Kevin R. McKee, Verena Rieser, Iason Gabriel
Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment. FAccT (2024)
Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
Correction: Warmth and competence in human-agent cooperation. Auton. Agents Multi Agent Syst. 38 (1) (2024)
Jennifer Chien, Kevin R. McKee, Jackie Kay, William Isaac
Recourse for reclamation: Chatting with generative language models. CoRR (2024)
Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
Warmth and competence in human-agent cooperation. Auton. Agents Multi Agent Syst. 38 (1) (2024)
William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
The Illusion of Artificial Inclusion. CHI (2024)
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, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR (2024)
Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
A social path to human-like artificial intelligence. CoRR (2024)
Jennifer Chien, Kevin R. McKee, Jackie Kay, William Isaac
Recourse for Reclamation: Chatting with Generative Language Models. CHI Extended Abstracts (2024)
Jennifer Chien, A. Stevie Bergman, Kevin R. McKee, Nenad Tomasev, Vinodkumar Prabhakaran, Rida Qadri, Nahema Marchal, William Isaac
(Unfair) Norms in Fairness Research: A Meta-Analysis. CoRR (2024)
William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
The illusion of artificial inclusion. CoRR (2024)
Udari Madhushani, Kevin R. McKee, John P. Agapiou, Joel Z. Leibo, Richard Everett, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. CoRR (2023)
Kevin R. McKee
Human participants in AI research: Ethics and transparency in practice. CoRR (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS (2023)
Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
A social path to human-like artificial intelligence. Nat. Mac. Intell. 5 (11) (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR (2023)
Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR (2023)
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
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria. CoRR (2022)
Ian M. Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. AAMAS (2022)
Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
Warmth and competence in human-agent cooperation. CoRR (2022)
Ian M. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, 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 Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35 (4) (2022)
Christina Lu, Jackie Kay, Kevin R. McKee
Subverting machines, fluctuating identities: Re-learning human categorization. CoRR (2022)
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
Warmth and Competence in Human-Agent Cooperation. AAMAS (2022)
Ian M. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar Duéñez-Guzmán, 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 Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR (2022)
Christina Lu, Jackie Kay, Kevin R. McKee
Subverting machines, fluctuating identities: Re-learning human categorization. FAccT (2022)
Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. CoRR (2021)
Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. AIES (2021)
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Quantifying environment and population diversity in multi-agent reinforcement learning. CoRR (2021)
Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Ávila Pires, Théophane Weber
Neural Recursive Belief States in Multi-Agent Reinforcement Learning. CoRR (2021)
DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
Collaborating with Humans without Human Data. CoRR (2021)
Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio García Castañeda, Charlie Beattie, Thore Graepel, Matthew Botvinick, Joel Z. Leibo
Deep reinforcement learning models the emergent dynamics of human cooperation. CoRR (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
Statistical discrimination in learning agents. CoRR (2021)
DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
Collaborating with Humans without Human Data. NeurIPS (2021)
Ian M. Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. CoRR (2020)
Kevin R. McKee, Ian M. Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. AAMAS (2020)
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
Open Problems in Cooperative AI. CoRR (2020)
Raphael Köster, Kevin R. McKee, Richard Everett, Laura Weidinger, William S. Isaac, Edward Hughes, Edgar A. Duéñez-Guzmán, Thore Graepel, Matthew Botvinick, Joel Z. Leibo
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences. CoRR (2020)
Kevin R. McKee, Ian M. Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. CoRR (2020)
Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew Botvinick
A resource-rational model of physical abstraction for efficient mental simulation. CogSci (2019)
Edward Hughes, 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
Inequity aversion improves cooperation in intertemporal social dilemmas. NeurIPS (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CoRR (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CogSci (2018)
Edward Hughes, 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
Inequity aversion resolves intertemporal social dilemmas. CoRR (2018)