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)

Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors. - Raphael Koster; Dylan Hadfield-Menell; Gillian K. Hadfield; Joel Z. Leibo (AAMAS, 2020)

MEMO: A Deep Network for Flexible Combination of Episodic Memories. - Andrea Banino; Adrià Puigdomènech Badia; Raphael Köster; Martin J. Chadwick; Vinícius Flores Zambaldi; Demis Hassabis; Caswell Barry; Matthew M. Botvinick; Dharshan Kumaran; Charles Blundell (ICLR, 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)

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. - Joel Z. Leibo; Edgar A. Duéñez-Guzmán; Alexander Vezhnevets; John P. Agapiou; Peter Sunehag; Raphael Koster; Jayd Matyas; Charlie Beattie; Igor Mordatch; Thore Graepel (ICML, 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)

A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. - Eugene Vinitsky; Raphael Köster; John P. Agapiou; Edgar A. Duéñez-Guzmán; Alexander Sasha Vezhnevets; Joel Z. Leibo (CoRR, 2021)

Role of Human-AI Interaction in Selective Prediction. - Elizabeth Bondi; Raphael Koster; Hannah Sheahan; Martin J. Chadwick; Yoram Bachrach; A. Taylan Cemgil; Ulrich Paquet; Krishnamurthy Dvijotham (AAAI, 2022)

Human-centered mechanism design with Democratic AI. - Raphael Koster; Jan Balaguer; Andrea Tacchetti; Ari Weinstein; Tina Zhu; Oliver P. Hauser; Duncan Williams; Lucy Campbell-Gillingham; Phoebe Thacker; Matthew M. Botvinick; Christopher Summerfield (CoRR, 2022)

HCMD-zero: Learning Value Aligned Mechanisms from Data. - Jan Balaguer; Raphael Koster; Ari Weinstein; Lucy Campbell-Gillingham; Christopher Summerfield; Matthew M. Botvinick; Andrea Tacchetti (CoRR, 2022)

The Good Shepherd: An Oracle Agent for Mechanism Design. - Jan Balaguer; Raphael Koster; Christopher Summerfield; Andrea Tacchetti (CoRR, 2022)

Melting Pot 2.0. - John P. Agapiou; Alexander Sasha Vezhnevets; Edgar A. Duéñez-Guzmán; Jayd Matyas; Yiran Mao; Peter Sunehag; Raphael Köster; Udari Madhushani; Kavya Kopparapu; Ramona Comanescu; DJ Strouse; Michael Bradley Johanson; et al. (CoRR, 2022)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models. - Viorica Patraucean; Lucas Smaira; Ankush Gupta 001; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang 007; Carl Doersch; Tatiana Matejovicova; et al. (NeurIPS, 2023)

Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem. - Raphael Koster; Miruna Pîslar; Andrea Tacchetti; Jan Balaguer; Leqi Liu; Romuald Elie; Oliver P. Hauser; Karl Tuyls; Matt M. Botvinick; Christopher Summerfield (CoRR, 2024)

A theory of appropriateness with applications to generative artificial intelligence. - Joel Z. Leibo; Alexander Sasha Vezhnevets; Manfred Diaz; John P. Agapiou; William A. Cunningham; Peter Sunehag; Julia Haas; Raphael Koster; Edgar A. Duéñez-Guzmán; William S. Isaac; Georgios Piliouras; Stanley M. Bileschi; et al. (CoRR, 2024)

Language Agents as Digital Representatives in Collective Decision-Making. - Daniel Jarrett; Miruna Pîslar; Michiel A. Bakker; Michael Henry Tessler; Raphael Köster; Jan Balaguer; Romuald Elie; Christopher Summerfield; Andrea Tacchetti (CoRR, 2025)

Modeling human reputation-seeking behavior in a spatio-temporally complex public good provision game. - Edward Hughes 001; Tina O. Zhu; Martin J. Chadwick; Raphael Koster; Antonio García Castañeda; Charles Beattie; Thore Graepel; Matthew M. Botvinick; Joel Z. Leibo (CoRR, 2025)