Georgios Piliouras

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 205

Top Venues

Publications

Renato Paes Leme, Georgios Piliouras, Jon Schneider, Kelly Spendlove, Song Zuo
Dynamical Analysis of Autobidding Systems. CoRR (2024)
Ian Gemp, Luke Marris, Georgios Piliouras
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization. ICLR (2024)
Pedro Braga, Georgios Chionas, Piotr Krysta, Stefanos Leonardos, Georgios Piliouras, Carmine Ventre
Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism. AAMAS (2024)
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. AAMAS (2024)
Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Z. Leibo, Nicolas Heess
Neural Population Learning beyond Symmetric Zero-sum Games. CoRR (2024)
Aamal Abbas Hussain, Dan Leonte, Francesco Belardinelli, Georgios Piliouras
On the Stability of Learning in Network Games with Many Players. CoRR (2024)
Aamal Abbas Hussain, Dan Leonte, Francesco Belardinelli, Georgios Piliouras
On the Stability of Learning in Network Games with Many Players. AAMAS (2024)
Ilayda Canyakmaz, Iosif Sakos, Wayne Lin, Antonios Varvitsiotis, Georgios Piliouras
Steering game dynamics towards desired outcomes. CoRR (2024)
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. CoRR (2024)
Yi Feng, Georgios Piliouras, Xiao Wang
Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg. CoRR (2024)
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
Generative Adversarial Equilibrium Solvers. ICLR (2024)
Pedro Braga, Georgios Chionas, Stefanos Leonardos, Piotr Krysta, Georgios Piliouras, Carmine Ventre
On the Redistribution of Maximal Extractable Value: A Dynamic Mechanism. CoRR (2024)
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
NfgTransformer: Equivariant Representation Learning for Normal-form Games. ICLR (2024)
Luke Marris, Ian Gemp, Siqi Liu, Joel Z. Leibo, Georgios Piliouras
Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package. CoRR (2024)
Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess
NfgTransformer: Equivariant Representation Learning for Normal-form Games. CoRR (2024)
Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. CoRR (2024)
Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, Will Overman, Ioannis Panageas, Georgios Piliouras
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. ICLR (2024)
Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Z. Leibo, Nicolas Heess
Neural Population Learning beyond Symmetric Zero-Sum Games. AAMAS (2024)
Wayne Lin, Georgios Piliouras, Ryann Sim, Antonios Varvitsiotis
Quantum Potential Games, Replicator Dynamics, and the Separability Problem. CoRR (2023)
Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. NeurIPS (2023)
Shuyue Hu, Harold Soh, Georgios Piliouras
Heterogeneous Beliefs and Multi-Population Learning in Network Games. CoRR (2023)
Ilayda Canyakmaz, Wayne Lin, Georgios Piliouras, Antonios Varvitsiotis
Multiplicative Updates for Online Convex Optimization over Symmetric Cones. CoRR (2023)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
No-Regret Learning in Games is Turing Complete. EC (2023)
Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras
Scalable AI Safety via Doubly-Efficient Debate. CoRR (2023)
Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras
Beyond Strict Competition: Approximate Convergence of Multi Agent Q-Learning Dynamics. CoRR (2023)
Stefanos Leonardos, Joseph Sakos, Costas Courcoubetis, Georgios Piliouras
Catastrophe by Design in Population Games: A Mechanism to Destabilize Inefficient Locked-in Technologies. ACM Trans. Economics and Comput. 11 (2023)
Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics. IJCAI (2023)
Wayne Lin, Georgios Piliouras, Ryann Sim, Antonios Varvitsiotis
No-Regret Learning and Equilibrium Computation in Quantum Games. CoRR (2023)
Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan
A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games. CoRR (2023)
Aamal Abbas Hussain, Dan Leonte, Francesco Belardinelli, Georgios Piliouras
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players. CoRR (2023)
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
Generative Adversarial Equilibrium Solvers. CoRR (2023)
Iosif Sakos, Antonios Varvitsiotis, Georgios Piliouras
Discovering How Agents Learn Using Few Data. CoRR (2023)
Stefanos Leonardos, Daniël Reijsbergen, Barnabé Monnot, Georgios Piliouras
Optimality Despite Chaos in Fee Markets. FC (2023)
Ian Gemp, Luke Marris, Georgios Piliouras
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization. CoRR (2023)
Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. CoRR (2023)
Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
Alternation makes the adversary weaker in two-player games. NeurIPS (2023)
Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras
Asymptotic Convergence and Performance of Multi-Agent Q-learning Dynamics. AAMAS (2023)
Aleksander Czechowski, Georgios Piliouras
Non-chaotic limit sets in multi-agent learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
Chaos persists in large-scale multi-agent learning despite adaptive learning rates. CoRR (2023)
Volkan Cevher, Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. SOSA (2023)
Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. CoRR (2023)
Shuyue Hu, Harold Soh, Georgios Piliouras
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium. NeurIPS (2023)
Georgios Piliouras, Fang-Yi Yu
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos. EC (2023)
Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras
Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics. CoRR (2023)
Luke Marris, Ian Gemp, Georgios Piliouras
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games. CoRR (2023)
Stefanos Leonardos, Shyam Sridhar, Yun Kuen Cheung, Georgios Piliouras
Griefing Factors and Evolutionary In-Stabilities in Blockchain Mining Games. MARBLE (2022)
Georgios Piliouras, Lillian J. Ratliff, Ryann Sim, Stratis Skoulakis
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games. SAGT (2022)
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR (2022)
Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update. NeurIPS (2022)
Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang
AdaGrad Avoids Saddle Points. ICML (2022)
Stefanos Leonardos, Daniël Reijsbergen, Barnabé Monnot, Georgios Piliouras
Optimality Despite Chaos in Fee Markets. CoRR (2022)
Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. AAMAS (2022)
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML (2022)
Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
Scaling Mean Field Games by Online Mirror Descent. AAMAS (2022)
Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games. ICLR (2022)
Aleksander Czechowski, Georgios Piliouras
Poincaré-Bendixson Limit Sets in Multi-Agent Learning. AAMAS (2022)
Stefanos Leonardos, Georgios Piliouras
Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory. Artif. Intell. 304 (2022)
Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
Evolutionary Dynamics and Phi-Regret Minimization in Games. J. Artif. Intell. Res. 74 (2022)
Rahul Jain, Georgios Piliouras, Ryann Sim
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence. CoRR (2022)
Andre Wibisono, Molei Tao, Georgios Piliouras
Alternating Mirror Descent for Constrained Min-Max Games. CoRR (2022)
Jason Milionis, Christos H. Papadimitriou, Georgios Piliouras, Kelly Spendlove
Nash, Conley, and Computation: Impossibility and Incompleteness in Game Dynamics. CoRR (2022)
Andre Wibisono, Molei Tao, Georgios Piliouras
Alternating Mirror Descent for Constrained Min-Max Games. NeurIPS (2022)
Barnabé Monnot, Francisco Benita, Georgios Piliouras
Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division. ACM Trans. Economics and Comput. 10 (1) (2022)
Rahul Jain, Georgios Piliouras, Ryann Sim
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence. NeurIPS (2022)
Yun Kuen Cheung, Georgios Piliouras, Yixin Tao
The Evolution of Uncertainty of Learning in Games. ICLR (2022)
Andjela Mladenovic, Iosif Sakos, Gauthier Gidel, Georgios Piliouras
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs. ICLR (2022)
Jin Xing Lim, Barnabé Monnot, Georgios Piliouras
Blockchain-based Mechanism Design for Collaborative Mathematical Research. ICBC (2022)
Georgios Piliouras, Lillian J. Ratliff, Ryann Sim, Stratis Skoulakis
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games. CoRR (2022)
Paul Muller, Romuald Elie, Mark Rowland, Mathieu Laurière, Julien Pérolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls
Learning Correlated Equilibria in Mean-Field Games. CoRR (2022)
Georgios Piliouras, Fang-Yi Yu
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos. CoRR (2022)
Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Michal Misiurewicz, Georgios Piliouras
Unpredictable dynamics in congestion games: memory loss can prevent chaos. CoRR (2022)
Yun Kuen Cheung, Stefanos Leonardos, Shyam Sridhar, Georgios Piliouras
Market Equilibria and Risk Diversification in Blockchain Mining Economies. MARBLE (2022)
Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo
Mixed Membership Generative Adversarial Networks. ICIP (2022)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
No-Regret Learning in Games is Turing Complete. CoRR (2022)
Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras
Learning in Markets: Greed Leads to Chaos but Following the Price is Right. IJCAI (2021)
Stefanos Leonardos, Georgios Piliouras, Kelly Spendlove
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality. CoRR (2021)
Stefanos Leonardos, Barnabé Monnot, Daniël Reijsbergen, Efstratios Skoulakis, Georgios Piliouras
Dynamical analysis of the EIP-1559 Ethereum fee market. AFT (2021)
Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian J. Ratliff
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games. AAAI (2021)
Georgios Piliouras, Xiao Wang
Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics. CoRR (2021)
Aleksander Czechowski, Georgios Piliouras
Poincaré-Bendixson Limit Sets in Multi-Agent Learning. CoRR (2021)
Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian J. Ratliff
Online Learning in Periodic Zero-Sum Games. CoRR (2021)
Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Optimal No-Regret Learning in General Games: Bounded Regret with Unbounded Step-Sizes via Clairvoyant MWU. CoRR (2021)
Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. CoRR (2021)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
Learning in Matrix Games can be Arbitrarily Complex. CoRR (2021)
Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
Evolutionary Dynamics and Φ-Regret Minimization in Games. CoRR (2021)
Stefanos Leonardos, Georgios Piliouras
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory. AAAI (2021)
Stefanos Leonardos, Georgios Piliouras, Kelly Spendlove
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality. NeurIPS (2021)
Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Grzegorz Kosiorowski, Michal Misiurewicz, Georgios Piliouras
Follow-the-Regularized-Leader Routes to Chaos in Routing Games. CoRR (2021)
Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games. CoRR (2021)
Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
Scaling up Mean Field Games with Online Mirror Descent. CoRR (2021)
Yun Kuen Cheung, Georgios Piliouras
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence. ICML (2021)
Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian J. Ratliff
Online Learning in Periodic Zero-Sum Games. NeurIPS (2021)
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent. NeurIPS (2021)
Dimitris Fotakis, Georgios Piliouras, Stratis Skoulakis
Efficient Online Learning for Dynamic k-Clustering. CoRR (2021)
Daniël Reijsbergen, Shyam Sridhar, Barnabé Monnot, Stefanos Leonardos, Stratis Skoulakis, Georgios Piliouras
Transaction Fees on a Honeymoon: Ethereum's EIP-1559 One Month Later. Blockchain (2021)
Dimitris Fotakis, Panagiotis Kostopanagiotis, Vasileios Nakos, Georgios Piliouras, Stratis Skoulakis
On the Approximability of Multistage Min-Sum Set Cover. ICALP (2021)
Dimitris Fotakis, Panagiotis Kostopanagiotis, Vasileios Nakos, Georgios Piliouras, Stratis Skoulakis
On the Approximability of Multistage Min-Sum Set Cover. CoRR (2021)
Dimitris Fotakis, Georgios Piliouras, Stratis Skoulakis
Efficient Online Learning for Dynamic k-Clustering. ICML (2021)
Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Grzegorz Kosiorowski, Michal Misiurewicz, Georgios Piliouras
Follow-the-Regularized-Leader Routes to Chaos in Routing Games. ICML (2021)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
Learning in Matrix Games can be Arbitrarily Complex. COLT (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Georgios Piliouras