Piliouras, Georgios

61 publications

ICML 2025 Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning Ian Gemp, Andreas Alexander Haupt, Luke Marris, Siqi Liu, Georgios Piliouras

COLT 2025 Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play John Lazarsfeld, Georgios Piliouras, Ryann Sim, Andre Wibisono

L4DC 2025 Learning and Steering Game Dynamics Towards Desirable Outcomes Ilayda Canyakmaz, Iosif Sakos, Wayne Lin, Antonios Varvitsiotis, Georgios Piliouras

NeurIPS 2025 Optimism Without Regularization: Constant Regret in Zero-Sum Games John Lazarsfeld, Georgios Piliouras, Ryann Sim, Stratis Skoulakis

NeurIPS 2025 Plasticity as the Mirror of Empowerment David Abel, Michael Bowling, Andre Barreto, Will Dabney, Shi Dong, Steven Stenberg Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh

ICLR 2025 Re-Evaluating Open-Ended Evaluation of Large Language Models Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot

ICML 2025 Solving Zero-Sum Convex Markov Games Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras

ICLR 2024 Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization Ian Gemp, Luke Marris, Georgios Piliouras

ICLR 2024 Beating Price of Anarchy and Gradient Descent Without Regret in Potential Games Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, William Overman, Ioannis Panageas, Georgios Piliouras

NeurIPS 2024 Convergence of No-Swap-Regret Dynamics in Self-Play Renato Paes Leme, Georgios Piliouras, Jon Schneider

ICLR 2024 Generative Adversarial Equilibrium Solvers Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti

ICLR 2024 NfgTransformer: Equivariant Representation Learning for Normal-Form Games Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess

NeurIPS 2024 No-Regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests Davide Legacci, Panayotis Mertikopoulos, Christos Papadimitriou, Georgios Piliouras, Bary Pradelski

ICML 2024 Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader Meets Heisenberg Yi Feng, Georgios Piliouras, Xiao Wang

ICML 2024 Scalable AI Safety via Doubly-Efficient Debate Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras

ICMLW 2024 Scalable AI Safety via Doubly-Efficient Debate Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras

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

NeurIPS 2023 Alternation Makes the Adversary Weaker in Two-Player Games Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano

ICMLW 2023 Auto-Aligning Multiagent Incentives with Global Objectives Minae Kwon, John P Agapiou, Edgar A. Duéñez-Guzmán, Romuald Elie, Georgios Piliouras, Kalesha Bullard, Ian Gemp

IJCAI 2023 Beyond Strict Competition: Approximate Convergence of Multi-Agent Q-Learning Dynamics Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras

NeurIPS 2023 Exploiting Hidden Structures in Non-Convex Games for Convergence to Nash Equilibrium Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras

ICMLW 2023 Stability of Multi-Agent Learning: Convergence in Network Games with Many Players Aamal Hussain, Dan Leonte, Francesco Belardinelli, Georgios Piliouras

NeurIPS 2023 The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium Shuyue Hu, Harold Soh, Georgios Piliouras

ICML 2022 AdaGrad Avoids Saddle Points Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang

NeurIPS 2022 Alternating Mirror Descent for Constrained Min-Max Games Andre Wibisono, Molei Tao, Georgios Piliouras

NeurIPS 2022 Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update Georgios Piliouras, Ryann Sim, Stratis Skoulakis

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

ICLR 2022 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs Andjela Mladenovic, Iosif Sakos, Gauthier Gidel, Georgios Piliouras

ICLR 2022 Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras

ICLRW 2022 Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras

NeurIPS 2022 Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence Rahul Jain, Georgios Piliouras, Ryann Sim

ICML 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games Mathieu Lauriere, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Perolat, Romuald Elie, Olivier Pietquin, Matthieu Geist

ICLR 2022 The Evolution of Uncertainty of Learning in Games Yun Kuen Cheung, Georgios Piliouras, Yixin Tao

ICML 2021 Efficient Online Learning for Dynamic K-Clustering Dimitris Fotakis, Georgios Piliouras, Stratis Skoulakis

AAAI 2021 Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian J. Ratliff

NeurIPS 2021 Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality Stefanos Leonardos, Georgios Piliouras, Kelly Spendlove

AAAI 2021 Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory Stefanos Leonardos, Georgios Piliouras

ICML 2021 Follow-the-Regularized-Leader Routes to Chaos in Routing Games Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Grzegorz Kosiorowski, Michał Misiurewicz, Georgios Piliouras

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

IJCAI 2021 Learning in Markets: Greed Leads to Chaos but Following the Price Is Right Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras

COLT 2021 Learning in Matrix Games Can Be Arbitrarily Complex Gabriel P. Andrade, Rafael Frongillo, Georgios Piliouras

NeurIPS 2021 Online Learning in Periodic Zero-Sum Games Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian Ratliff

ICML 2021 Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence Yun Kuen Cheung, Georgios Piliouras

NeurIPS 2021 Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras

NeurIPS 2020 Chaos, Extremism and Optimism: Volume Analysis of Learning in Games Yun Kuen Cheung, Georgios Piliouras

NeurIPS 2020 Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras, Stratis Skoulakis

COLT 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent James P. Bailey, Gauthier Gidel, Georgios Piliouras

ICML 2020 From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras

NeurIPS 2020 No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras

ICLR 2020 Smooth Markets: A Basic Mechanism for Organizing Gradient-Based Learners David Balduzzi, Wojciech M Czarnecki, Thomas W Anthony, Ian M Gemp, Edward Hughes, Joel Z Leibo, Georgios Piliouras, Thore Graepel

NeurIPS 2020 The Route to Chaos in Routing Games: When Is Price of Anarchy Too Optimistic? Thiparat Chotibut, Fryderyk Falniowski, Michał Misiurewicz, Georgios Piliouras

NeurIPS 2019 Efficiently Avoiding Saddle Points with Zero Order Methods: No Gradients Required Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras

NeurIPS 2019 Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes James Bailey, Georgios Piliouras

NeurIPS 2019 First-Order Methods Almost Always Avoid Saddle Points: The Case of Vanishing Step-Sizes Ioannis Panageas, Georgios Piliouras, Xiao Wang

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

ICML 2019 Multiplicative Weights Updates as a Distributed Constrained Optimization Algorithm: Convergence to Second-Order Stationary Points Almost Always Ioannis Panageas, Georgios Piliouras, Xiao Wang

ICLR 2019 Optimistic Mirror Descent in Saddle-Point Problems: Going the Extra (gradient) Mile Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

NeurIPS 2019 Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras

ICLR 2019 The Unusual Effectiveness of Averaging in GAN Training Yasin, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar

COLT 2019 Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games Yun Kuen Cheung, Georgios Piliouras

NeurIPS 2017 Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos Gerasimos Palaiopanos, Ioannis Panageas, Georgios Piliouras