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Kevin R. McKee
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2020 – today
- 2024
- [j5]Kevin R. McKee
, Xuechunzi Bai, Susan T. Fiske:
Warmth and competence in human-agent cooperation. Auton. Agents Multi Agent Syst. 38(1): 23 (2024) - [j4]Kevin R. McKee
Correction: Warmth and competence in human-agent cooperation. Auton. Agents Multi Agent Syst. 38(1): 25 (2024) - [c13]Jennifer Chien
Recourse for Reclamation: Chatting with Generative Language Models. CHI Extended Abstracts 2024: 280:1-280:14 - [c12]William Agnew
The Illusion of Artificial Inclusion. CHI 2024: 286:1-286:12 - [c11]Arianna Manzini
Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment. FAccT 2024: 1174-1186 - [i25]William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman
The illusion of artificial inclusion. CoRR abs/2401.08572 (2024) - [i24]Jennifer Chien, Kevin R. McKee, Jackie Kay, William Isaac:
Recourse for reclamation: Chatting with generative language models. CoRR abs/2403.14467 (2024) - [i23]Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo:
A social path to human-like artificial intelligence. CoRR abs/2405.15815 (2024) - [i22]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 abs/2407.12687 (2024) - [i21]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 abs/2407.16895 (2024) - 2023
- [j3]Edgar A. Duéñez-Guzmán
A social path to human-like artificial intelligence. Nat. Mac. Intell. 5(11): 1181-1188 (2023) - [c10]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: 2445-2447 - [i20]Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR abs/2302.00797 (2023) - [i19]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 abs/2305.00768 (2023) - [i18]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 abs/2310.03051 (2023) - [i17]Kevin R. McKee:
Human participants in AI research: Ethics and transparency in practice. CoRR abs/2311.01254 (2023) - 2022
- [j2]Kevin R. McKee
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36(1): 21 (2022) - [j1]Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35(4): 271-284 (2022) - [c9]Ian 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: 498-506 - [c8]Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske:
Warmth and Competence in Human-Agent Cooperation. AAMAS 2022: 898-907 - [c7]Christina Lu
Subverting machines, fluctuating identities: Re-learning human categorization. FAccT 2022: 1005-1015 - [i16]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 abs/2201.01816 (2022) - [i15]Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske:
Warmth and competence in human-agent cooperation. CoRR abs/2201.13448 (2022) - [i14]Christina Lu, Jackie Kay, Kevin R. McKee:
Subverting machines, fluctuating identities: Re-learning human categorization. CoRR abs/2205.13740 (2022) - [i13]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
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR abs/2209.10958 (2022) - 2021
- [c6]Nenad Tomasev, Kevin R. McKee
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. AIES 2021: 254-265 - [c5]DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett:
Collaborating with Humans without Human Data. NeurIPS 2021: 14502-14515 - [i12]Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Ávila Pires, Théophane Weber:
Neural Recursive Belief States in Multi-Agent Reinforcement Learning. CoRR abs/2102.02274 (2021) - [i11]Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed:
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. CoRR abs/2102.04257 (2021) - [i10]Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett:
Quantifying environment and population diversity in multi-agent reinforcement learning. CoRR abs/2102.08370 (2021) - [i9]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:
Deep reinforcement learning models the emergent dynamics of human cooperation. CoRR abs/2103.04982 (2021) - [i8]DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett:
Collaborating with Humans without Human Data. CoRR abs/2110.08176 (2021) - [i7]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 abs/2110.11404 (2021) - 2020
- [c4]Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo:
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. AAMAS 2020: 869-877 - [i6]Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo:
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. CoRR abs/2002.02325 (2020) - [i5]Ian 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 abs/2010.00575 (2020) - [i4]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:
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences. CoRR abs/2010.09054 (2020) - [i3]Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel:
Open Problems in Cooperative AI. CoRR abs/2012.08630 (2020)
2010 – 2019
- 2019
- [c3]Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew M. Botvinick:
A resource-rational model of physical abstraction for efficient mental simulation. CogSci 2019: 3618 - 2018
- [c2]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 - [c1]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: 3330-3340 - [i2]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 abs/1803.08884 (2018) - [i1]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 abs/1806.01203 (2018)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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