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Georgios Piliouras

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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Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality


Jun 24, 2021
Stefanos Leonardos, Georgios Piliouras, Kelly Spendlove

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Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence


Jun 15, 2021
Yun Kuen Cheung, Georgios Piliouras

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* In ICML 2021 
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Efficient Online Learning for Dynamic k-Clustering


Jun 08, 2021
Dimitris Fotakis, Georgios Piliouras, Stratis Skoulakis

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Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games


Jun 03, 2021
Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras

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Learning in Matrix Games can be Arbitrarily Complex


Mar 05, 2021
Gabriel P. Andrade, Rafael Frongillo, Georgios Piliouras

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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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Follow-the-Regularized-Leader Routes to Chaos in Routing Games


Feb 17, 2021
Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Grzegorz Kosiorowski, Michał Misiurewicz, Georgios Piliouras

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* 30 pages, 8 figures 
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Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent


Jan 13, 2021
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Georgios Piliouras

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Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games


Dec 15, 2020
Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian Ratliff

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* To appear in AAAI 2021 
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Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent


Nov 05, 2020
Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras, Stratis Skoulakis

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No-regret learning and mixed Nash equilibria: They do not mix


Oct 20, 2020
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras

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* 24 pages, 7 figures, 1 table 
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No-regreet learning and mixed Nash equilibria: They do not mix


Oct 19, 2020
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras

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* 24 pages, 7 figures, 1 table 
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Chaos, Extremism and Optimism: Volume Analysis of Learning in Games


May 28, 2020
Yun Kuen Cheung, Georgios Piliouras

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* 20 pages, 4 figures 
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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

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* 43 pages 
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Smooth markets: A basic mechanism for organizing gradient-based learners


Jan 18, 2020
David Balduzzi, Wojciech M Czarnecki, Thomas W Anthony, Ian M Gemp, Edward Hughes, Joel Z Leibo, Georgios Piliouras, Thore Graepel

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* ICLR 2020 
 * 18 pages, 3 figures 
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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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Efficiently avoiding saddle points with zero order methods: No gradients required


Oct 29, 2019
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Georgios Piliouras

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* To appear in NeurIPS 2019 
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Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games


Oct 28, 2019
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Georgios Piliouras

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* To appear in NeurIPS 2019 (Spotlight talk) 
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Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes


May 11, 2019
James P. Bailey, Georgios Piliouras

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Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System


Mar 05, 2019
James P. Bailey, Georgios Piliouras

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Short-distance commuters in the smart city


Feb 16, 2019
Francisco Benita, Garvit Bansal, Georgios Piliouras, Bige Tunçer

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* 21 pages 
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Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions


Feb 09, 2019
Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar


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Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile


Oct 01, 2018
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

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* 26 pages, 14 figures 
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The Unusual Effectiveness of Averaging in GAN Training


Jun 12, 2018
Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

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First-order Methods Almost Always Avoid Saddle Points


Oct 20, 2017
Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht

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Cycles in adversarial regularized learning


Sep 08, 2017
Panayotis Mertikopoulos, Christos Papadimitriou, Georgios Piliouras

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* 22 pages, 4 figures 
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