Raphael Koster

19 papers A* 4A 1B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Theory of Appropriateness That Accounts for Norms of Rationality. CoRR Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz, John P. Agapiou, William A. Cunningham, Peter Sunehag, Logan Cross, Raphael Koster, Stanley M. Bileschi, Minsuk Chang, Iyad Rahwan, Simon Osindero, James A. Evans
2026	J	`jnl`	Can AI mediation improve democratic deliberation? CoRR Michael Henry Tessler, Georgina Evans, Michiel A. Bakker, Iason Gabriel, Sophie Bridgers, Rishub Jain, Raphael Koster, Verena Rieser, Anca Dragan, Matthew Botvinick, Christopher Summerfield
2025	J	`jnl`	Modeling human reputation-seeking behavior in a spatio-temporally complex public good provision game. CoRR Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio García Castañeda, Charles Beattie, Thore Graepel, Matthew M. Botvinick, Joel Z. Leibo
2024	J	`jnl`	A theory of appropriateness with applications to generative artificial intelligence. CoRR 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, Iyad Rahwan, Simon Osindero
2024	J	`jnl`	Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem. CoRR Raphael Koster, Miruna Pîslar, Andrea Tacchetti, Jan Balaguer, Leqi Liu, Romuald Elie, Oliver P. Hauser, Karl Tuyls, Matt M. Botvinick, Christopher Summerfield
2023	A*	`conf`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
2023	J	`jnl`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
2022	J	`jnl`	HCMD-zero: Learning Value Aligned Mechanisms from Data. CoRR Jan Balaguer, Raphael Koster, Ari Weinstein, Lucy Campbell-Gillingham, Christopher Summerfield, Matthew M. Botvinick, Andrea Tacchetti
2022	J	`jnl`	Human-centered mechanism design with Democratic AI. CoRR 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
2022	A*	`conf`	Role of Human-AI Interaction in Selective Prediction. AAAI Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2022	J	`jnl`	The Good Shepherd: An Oracle Agent for Mechanism Design. CoRR Jan Balaguer, Raphael Koster, Christopher Summerfield, Andrea Tacchetti
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	J	`jnl`	Role of Human-AI Interaction in Selective Prediction. CoRR Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2021	A*	`conf`	Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. ICML Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel
2021	J	`jnl`	Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. CoRR Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Sasha Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charles Beattie, Igor Mordatch, Thore Graepel
2020	A	`conf`	Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors. AAMAS Raphael Koster, Dylan Hadfield-Menell, Gillian K. Hadfield, 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