Tuyls, Karl

37 publications

JAIR 2025 Empirical Game Theoretic Analysis: A Survey Michael P. Wellman, Karl Tuyls, Amy Greenwald

JMLR 2024 An Analysis of Quantile Temporal-Difference Learning Mark Rowland, Rémi Munos, Mohammad Gheshlaghi Azar, Yunhao Tang, Georg Ostrovski, Anna Harutyunyan, Karl Tuyls, Marc G. Bellemare, Will Dabney

ICMLW 2024 Steering Language Models with Game-Theoretic Solvers Ian Gemp, Roma Patel, Yoram Bachrach, Marc Lanctot, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls

IJCAI 2024 Towards a Pretrained Model for Restless Bandits via Multi-Arm Generalization Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

ICML 2023 Human-Timescale Adaptation in an Open-Ended Task Space Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M Zhang

JAIR 2022 Evolutionary Dynamics and Phi-Regret Minimization in Games Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls

NeurIPS 2022 Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls

ICML 2021 From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization Julien Perolat, Remi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro Ortega, Neil Burch, Thomas Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls

JAIR 2021 Game Plan: What AI Can Do for Football, and What Football Can Do for AI Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

ICML 2021 Multi-Agent Training Beyond Zero-Sum with Correlated Equilibrium Meta-Solvers Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel

ICLR 2020 A Generalized Training Approach for Multiagent Learning Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Perolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Remi Munos

ICML 2020 Fast Computation of Nash Equilibria in Imperfect Information Games Remi Munos, Julien Perolat, Jean-Baptiste Lespiau, Mark Rowland, Bart De Vylder, Marc Lanctot, Finbarr Timbers, Daniel Hennes, Shayegan Omidshafiei, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Edward Lockhart, Karl Tuyls

NeurIPS 2020 Real World Games Look like Spinning Tops Wojciech M. Czarnecki, Gauthier Gidel, Brendan Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg

IJCAI 2019 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls

ICLR 2019 Deep Reinforcement Learning with Relational Inductive Biases Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia

JMLR 2019 Differentiable Game Mechanics Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

NeurIPS 2019 Multiagent Evaluation Under Incomplete Information Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Perolat, Michal Valko, Georgios Piliouras, Remi Munos

NeurIPS 2018 Actor-Critic Policy Optimization in Partially Observable Multiagent Environments Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi, Julien Perolat, Karl Tuyls, Remi Munos, Michael Bowling

ICLR 2018 Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark

ICLR 2018 Emergent Communication Through Negotiation Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, Stephen Clark

JMLR 2018 Experience Selection in Deep Reinforcement Learning for Control Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuška

NeurIPS 2018 Inequity Aversion Improves Cooperation in Intertemporal Social Dilemmas Edward Hughes, Joel Z. Leibo, Matthew Phillips, Karl Tuyls, Edgar Dueñez-Guzman, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin McKee, Raphael Koster, Heather Roff, Thore Graepel

NeurIPS 2018 Re-Evaluating Evaluation David Balduzzi, Karl Tuyls, Julien Perolat, Thore Graepel

ICML 2018 The Mechanics of N-Player Differentiable Games David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

NeurIPS 2017 A Multi-Agent Reinforcement Learning Model of Common-Pool Resource Appropriation Julien Pérolat, Joel Z. Leibo, Vinicius Zambaldi, Charles Beattie, Karl Tuyls, Thore Graepel

NeurIPS 2017 A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Perolat, David Silver, Thore Graepel

JAIR 2015 Evolutionary Dynamics of Multi-Agent Learning: A Survey Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers

ECML-PKDD 2015 HiDER: Query-Driven Entity Resolution for Historical Data Bijan Ranjbar Sahraei, Julia Efremova, Hossein Rahmani, Toon Calders, Karl Tuyls, Gerhard Weiss

AAAI 2014 Theory of Cooperation in Complex Social Networks Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss

ECML-PKDD 2013 Automatically Mapped Transfer Between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss

IJCAI 2013 Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains Siqi Chen, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss

ECML-PKDD 2010 Evolutionary Dynamics of Regret Minimization Tomas Klos, Gerrit Jan van Ahee, Karl Tuyls

AAAI 2008 Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls

JAIR 2008 Learning to Reach Agreement in a Continuous Ultimatum Game Steven de Jong, Simon Uyttendaele, Karl Tuyls

JMLR 2008 Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective Liviu Panait, Karl Tuyls, Sean Luke

ECML-PKDD 2004 Analyzing Multi-Agent Reinforcement Learning Using Evolutionary Dynamics Pieter Jan't Hoen, Karl Tuyls

ECML-PKDD 2003 Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-Agent Systems Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick