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Evolutionary Dynamics and $Φ$-Regret Minimization in Games


Jun 28, 2021
Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome Connor, Karl Tuyls


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Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers


Jun 22, 2021
Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel

* ICML 2021, 9 pages, coded implementation available in https://github.com/deepmind/open_spiel/ (jpsro.py in examples) 

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Time-series Imputation of Temporally-occluded Multiagent Trajectories


Jun 08, 2021
Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls


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From Motor Control to Team Play in Simulated Humanoid Football


May 25, 2021
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess


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Scaling up Mean Field Games with Online Mirror Descent


Feb 28, 2021
Julien Perolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin


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Game Plan: What AI can do for Football, and What Football can do for AI


Nov 18, 2020
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Perolat, Bart De Vylder, Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis


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The Advantage Regret-Matching Actor-Critic


Aug 27, 2020
Audrūnas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls


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Navigating the Landscape of Games


May 04, 2020
Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome Connor, Daniel Hennes, Paul Muller, Julien Perolat, Bart De Vylder, Audrunas Gruslys, Remi Munos


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Real World Games Look Like Spinning Tops


Apr 20, 2020
Wojciech Marian Czarnecki, Gauthier Gidel, Brendan Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg


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The Automated Inspection of Opaque Liquid Vaccines


Feb 21, 2020
Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore

* 8 pages, 5 Figures, 3 Tables, ECAI 2020 Conference Proceedings 

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From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization


Feb 19, 2020
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

* 43 pages 

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Multiagent Evaluation under Incomplete Information


Oct 30, 2019
Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Perolat, Michal Valko, Georgios Piliouras, Remi Munos


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OpenSpiel: A Framework for Reinforcement Learning in Games


Oct 10, 2019
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinicius Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis


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A Generalized Training Approach for Multiagent Learning


Sep 27, 2019
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


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Neural Replicator Dynamics


Jun 01, 2019
Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Remi Munos, Julien Perolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls


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Differentiable Game Mechanics


May 13, 2019
Alistair Letcher, David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

* Journal of Machine Learning Research (JMLR), v20 (84) 1-40, 2019 
* JMLR 2019, journal version of arXiv:1802.05642 

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Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT


Apr 12, 2019
James Butterworth, Rahul Savani, Karl Tuyls


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Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent


Mar 21, 2019
Edward Lockhart, Marc Lanctot, Julien PĂ©rolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls

* 11 pages, 1 figure 

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Fully Convolutional One-Shot Object Segmentation for Industrial Robotics


Mar 02, 2019
Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls

* International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), 9 pages 

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Robust temporal difference learning for critical domains


Jan 23, 2019
Richard Klima, Daan Bloembergen, Michael Kaisers, Karl Tuyls

* This paper will appear in the proceedings of AAMAS 2019 

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Re-evaluating Evaluation


Oct 30, 2018
David Balduzzi, Karl Tuyls, Julien Perolat, Thore Graepel

* NIPS 2018, final version 

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Actor-Critic Policy Optimization in Partially Observable Multiagent Environments


Oct 21, 2018
Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi, Julien Perolat, Karl Tuyls, Remi Munos, Michael Bowling

* NIPS 2018 

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Inequity aversion improves cooperation in intertemporal social dilemmas


Sep 27, 2018
Edward Hughes, Joel Z. Leibo, Matthew G. Phillips, Karl Tuyls, Edgar A. Duéñez-Guzmán, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin R. McKee, Raphael Koster, Heather Roff, Thore Graepel

* 15 pages, 8 figures 

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SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions


Sep 18, 2018
Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng, Wanli Xue, Rong Chen


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Negative Update Intervals in Deep Multi-Agent Reinforcement Learning


Sep 17, 2018
Gregory Palmer, Rahul Savani, Karl Tuyls


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A Comparative Study of Bug Algorithms for Robot Navigation


Aug 17, 2018
Kimberly McGuire, Guido de Croon, Karl Tuyls

* 22 pages, 20 figures, Submitted to Robotics and Autonomous Systems 

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