McKee, Kevin R.

Inequity aversion improves cooperation in intertemporal social dilemmas

Hughes, E., Leibo, J. Z., Phillips, M. G., Tuyls, K., Duéñez-Guzmán, E. A., Castañeda, A. G., Dunning, I., Zhu, T., McKee, K. R., Koster, R., et al. (2018) · arXiv

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 134

Open Problems in Cooperative AI

Dafoe, A., Hughes, E., Bachrach, Y., Collins, T., McKee, K. R., Leibo, J. Z., Larson, K., & Graepel, T. (2020) · arXiv

Multi-Agent Systems and NegotiationGame Theory and Voting Systems

Cited by 93

Scaffolding cooperation in human groups with deep reinforcement learning

McKee, K. R., Tacchetti, A., Bakker, M. A., Balaguer, J., Campbell-Gillingham, L., Everett, R., & Botvinick, M. (2023) · Nature Human Behaviour

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 43

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning

McKee, K. R., Gemp, I., McWilliams, B., Duèñez-Guzmán, E. A., Hughes, E., & Leibo, J. Z. (2020) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsExperimental Behavioral Economics Studies

Cited by 33

Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment

Manzini, A., Keeling, G., Marchal, N., McKee, K. R., Rieser, V., & Gabriel, I. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 28

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach

Jurenka, I., Kunesch, M., McKee, K. R., Gillick, D., Zhu, S., Wiltberger, S., Phal, S. M., Hermann, K., Kasenberg, D., Bhoopchand, A., et al. (2024) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 24

How FaR Are Large Language Models From Agents with Theory-of-Mind?

Zhou, P., Madaan, A., Potharaju, S. P., Gupta, A., McKee, K. R., Holtzman, A., Pujara, J., Ren, X., Mishra, S., Nematzadeh, A., et al. (2023) · arXiv

Topic ModelingChild and Animal Learning Development

Cited by 6

A multi-agent reinforcement learning model of reputation and cooperation in human groups

McKee, K. R., Hughes, E., Zhu, T. O., Chadwick, M. J., Koster, R., Castaneda, A. G., Beattie, C., Graepel, T., Botvinick, M., & Leibo, J. Z. (2021) · arXiv

Evolutionary Game Theory and CooperationExperimental Behavioral Economics Studies

Cited by 5

LearnLM: Improving Gemini for Learning

LearnLM Team, Modi, A., Veerubhotla, A. S., Rysbek, A., Huber, A., Wiltshire, B., Veprek, B., Gillick, D., Kasenberg, D., Ahmed, D., et al. (2024) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 4

AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms

LearnLM Team, Eedi, :, Wang, A., Rysbek, A., Huber, A., Nambiar, A., Kenolty, A., Caulfield, B., Lilley-Draper, B., et al. (2025) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 1

Evaluating Gemini in an arena for learning

LearnLM Team, Modi, A., Veerubhotla, A. S., Rysbek, A., Huber, A., Anand, A., Bhoopchand, A., Wiltshire, B., Gillick, D., Kasenberg, D., et al. (2025) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0