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Karl Tuyls

Showing results (1-10 of 13) with videos related to

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Journal of Theoretical Biology|July 18, 2006
How to reach linguistic consensus: a proof of convergence for the naming gameBart De Vylder, Karl Tuyls
Journal of Theoretical Biology|June 7, 2005
The evolutionary language game: an orthogonal approachTom Lenaerts, Bart Jansen, Karl Tuyls, et al.
Frontiers in Robotics and AI|January 27, 2021
Space Debris Removal: Learning to Cooperate and the Price of AnarchyRichard Klima, Daan Bloembergen, Rahul Savani, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Scientific Reports|January 19, 2018
Symmetric Decomposition of Asymmetric GamesKarl Tuyls, Julien Pérolat, Marc Lanctot, et al.
Nature Communications|March 23, 2025
Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problemRaphael Koster, Miruna Pîslar, Andrea Tacchetti, et al.
Scientific Reports|July 11, 2019
α-Rank: Multi-Agent Evaluation by EvolutionShayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras, et al.
Nature Communications|November 6, 2020
Navigating the landscape of multiplayer gamesShayegan Omidshafiei, Karl Tuyls, Wojciech M Czarnecki, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Perceptual interventions ameliorate statistical discrimination in learning agentsEdgar A Duéñez-Guzmán, Ramona Comanescu, Yiran Mao, et al.
Scientific Reports|May 23, 2022
Multiagent off-screen behavior prediction in footballShayegan Omidshafiei, Daniel Hennes, Marta Garnelo, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Theoretical Biology|July 18, 2006
How to reach linguistic consensus: a proof of convergence for the naming gameBart De Vylder, Karl Tuyls
Journal of Theoretical Biology|June 7, 2005
The evolutionary language game: an orthogonal approachTom Lenaerts, Bart Jansen, Karl Tuyls, et al.
Frontiers in Robotics and AI|January 27, 2021
Space Debris Removal: Learning to Cooperate and the Price of AnarchyRichard Klima, Daan Bloembergen, Rahul Savani, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Scientific Reports|January 19, 2018
Symmetric Decomposition of Asymmetric GamesKarl Tuyls, Julien Pérolat, Marc Lanctot, et al.
Nature Communications|March 23, 2025
Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problemRaphael Koster, Miruna Pîslar, Andrea Tacchetti, et al.
Scientific Reports|July 11, 2019
α-Rank: Multi-Agent Evaluation by EvolutionShayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras, et al.
Nature Communications|November 6, 2020
Navigating the landscape of multiplayer gamesShayegan Omidshafiei, Karl Tuyls, Wojciech M Czarnecki, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Perceptual interventions ameliorate statistical discrimination in learning agentsEdgar A Duéñez-Guzmán, Ramona Comanescu, Yiran Mao, et al.
Scientific Reports|May 23, 2022
Multiagent off-screen behavior prediction in footballShayegan Omidshafiei, Daniel Hennes, Marta Garnelo, et al.
Pageof 2