Kevin R. McKee

46 papers A* 4A 4B 2C 1Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms. CoRR LearnLM Team Google, Albert Wang, Aliya Rysbek, Andrea Huber, Anjali Nambiar, Anna Kenolty, Ben Caulfield, Beth Lilley-Draper, Bibi Groot, Brian Veprek, Chelsea Burdett, Claire Willis, Craig Barton, Digory Smith, George Mu, Harriet Walters, Irina Jurenka, Iris Hulls, James Stalley-Moores, Jonathan Caton, Julia Wilkowski, Kaiz Alarakyia, Kevin R. McKee, Liam McCafferty, Lucy Dalton, Markus Kunesch, Pauline Malubay, Rachel Kidson, Rich Wells, Sam Wheeler, Sara Wiltberger, Shakir Mohamed, Simon Woodhead, Vasco Brazão
2025	A*	`conf`	Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. IJCAI Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2025	J	`jnl`	Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. CoRR Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R. McKee, Verena Rieser, Murray Shanahan, Laura Weidinger
2024	J	`jnl`	(Unfair) Norms in Fairness Research: A Meta-Analysis. CoRR Jennifer Chien, A. Stevie Bergman, Kevin R. McKee, Nenad Tomasev, Vinodkumar Prabhakaran, Rida Qadri, Nahema Marchal, William Isaac
2024	J	`jnl`	A social path to human-like artificial intelligence. CoRR Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
2024	J	`jnl`	Correction: Warmth and competence in human-agent cooperation. Auton. Agents Multi Agent Syst. Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
2024	—	`conf`	Recourse for Reclamation: Chatting with Generative Language Models. CHI Extended Abstracts Jennifer Chien, Kevin R. McKee, Jackie Kay, William Isaac
2024	J	`jnl`	Recourse for reclamation: Chatting with generative language models. CoRR Jennifer Chien, Kevin R. McKee, Jackie Kay, William Isaac
2024	—	`conf`	Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment. FAccT Arianna Manzini, Geoff Keeling, Nahema Marchal, Kevin R. McKee, Verena Rieser, Iason Gabriel
2024	A*	`conf`	The Illusion of Artificial Inclusion. CHI William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
2024	J	`jnl`	The illusion of artificial inclusion. CoRR William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
2024	J	`jnl`	Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR 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 Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
2024	J	`jnl`	Warmth and competence in human-agent cooperation. Auton. Agents Multi Agent Syst. Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
2023	J	`jnl`	A social path to human-like artificial intelligence. Nat. Mac. Intell. Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
2023	J	`jnl`	Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2023	J	`jnl`	Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. CoRR Udari Madhushani, Kevin R. McKee, John P. Agapiou, Joel Z. Leibo, Richard Everett, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán
2023	J	`jnl`	How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR 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
2023	J	`jnl`	Human participants in AI research: Ethics and transparency in practice. CoRR Kevin R. McKee
2023	A	`conf`	Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
2022	A	`conf`	D3C: Reducing the Price of Anarchy in Multi-Agent Learning. AAMAS Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
2022	J	`jnl`	Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR Ian 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
2022	J	`jnl`	Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. Ian 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
2022	J	`jnl`	Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria. CoRR 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
2022	J	`jnl`	Quantifying the effects of environment and population diversity in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
2022	—	`conf`	Subverting machines, fluctuating identities: Re-learning human categorization. FAccT Christina Lu, Jackie Kay, Kevin R. McKee
2022	J	`jnl`	Subverting machines, fluctuating identities: Re-learning human categorization. CoRR Christina Lu, Jackie Kay, Kevin R. McKee
2022	A	`conf`	Warmth and Competence in Human-Agent Cooperation. AAMAS Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
2022	J	`jnl`	Warmth and competence in human-agent cooperation. CoRR Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske
2021	A*	`conf`	Collaborating with Humans without Human Data. NeurIPS DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
2021	J	`jnl`	Collaborating with Humans without Human Data. CoRR DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
2021	J	`jnl`	Deep reinforcement learning models the emergent dynamics of human cooperation. CoRR Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio García Castañeda, Charlie Beattie, Thore Graepel, Matthew M. Botvinick, Joel Z. Leibo
2021	C	`conf`	Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. AIES Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed
2021	J	`jnl`	Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. CoRR Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed
2021	J	`jnl`	Neural Recursive Belief States in Multi-Agent Reinforcement Learning. CoRR Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Ávila Pires, Théophane Weber
2021	J	`jnl`	Quantifying environment and population diversity in multi-agent reinforcement learning. CoRR Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
2021	J	`jnl`	Statistical discrimination in learning agents. CoRR 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
2020	J	`jnl`	D3C: Reducing the Price of Anarchy in Multi-Agent Learning. CoRR Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
2020	J	`jnl`	Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences. CoRR Raphael Köster, Kevin R. McKee, Richard Everett, Laura Weidinger, William S. Isaac, Edward Hughes, Edgar A. Duéñez-Guzmán, Thore Graepel, Matthew M. Botvinick, Joel Z. Leibo
2020	J	`jnl`	Open Problems in Cooperative AI. CoRR Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
2020	A	`conf`	Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. AAMAS Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
2020	J	`jnl`	Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. CoRR Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
2019	B	`conf`	A resource-rational model of physical abstraction for efficient mental simulation. CogSci Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew M. Botvinick
2018	A*	`conf`	Inequity aversion improves cooperation in intertemporal social dilemmas. NeurIPS 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
2018	J	`jnl`	Inequity aversion resolves intertemporal social dilemmas. CoRR 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
2018	B	`conf`	Relational inductive bias for physical construction in humans and machines. CogSci Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Relational inductive bias for physical construction in humans and machines. CoRR Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia