G. Piliouras

Most-cited papers

First-order methods almost always avoid strict saddle points
J. Lee, Ioannis Panageas, G. Piliouras, Max Simchowitz +2 more
2019Mathematical programming247 citations
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Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Stefanos Leonardos, W. Overman, Ioannis Panageas, G. Piliouras
2021International Conference on Learning Representations175 citations
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First-order methods almost always avoid saddle points: The case of vanishing step-sizes
Ioannis Panageas, G. Piliouras, Xiao Wang
2019Neural Information Processing Systems121 citations
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From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
J. Pérolat, R. Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei +9 more
2020International Conference on Machine Learning117 citations
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No-regret learning and mixed Nash equilibria: They do not mix
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Thanasis Lianeas, P. Mertikopoulos +1 more
2020Neural Information Processing Systems100 citations
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Dynamical analysis of the EIP-1559 Ethereum fee market
Stefanos Leonardos, B. Monnot, Daniël Reijsbergen, Efstratios Skoulakis +1 more
2021Conference on Advances in Financial Technologies89 citations Open access
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Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent
James P. Bailey, G. Gidel, G. Piliouras
2019Annual Conference Computational Learning Theory78 citations
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Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller +7 more
2022International Conference on Machine Learning73 citations Open access
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Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games
Yun-Kuen Cheung, G. Piliouras
2019Annual Conference Computational Learning Theory71 citations
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Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory
Stefanos Leonardos, G. Piliouras
2020AAAI Conference on Artificial Intelligence62 citations Open access
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Transaction Fees on a Honeymoon: Ethereum's EIP-1559 One Month Later
Daniël Reijsbergen, Shyam Sridhar, B. Monnot, Stefanos Leonardos +2 more
2021International Congress on Blockchain and Applications61 citations Open access
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Scaling up Mean Field Games with Online Mirror Descent
J. Pérolat, Sarah Perrin, R. Élie, Mathieu Laurière +4 more
2021arXiv.org58 citations
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Game dynamics as the meaning of a game
C. Papadimitriou, G. Piliouras
2019SeCO Workshops55 citations
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Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos
G. Piliouras, Fang-Yi Yu
2022ACM Conference on Economics and Computation53 citations Open access
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Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Stefanos Leonardos, G. Piliouras, Kelly Spendlove
2021Neural Information Processing Systems43 citations
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Chaos, Extremism and Optimism: Volume Analysis of Learning in Games
Yun-Kuen Cheung, G. Piliouras
2020Neural Information Processing Systems42 citations
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Scaling Mean Field Games by Online Mirror Descent
J. Pérolat, Sarah Perrin, R. Élie, Mathieu Laurière +4 more
2022Adaptive Agents and Multi-Agent Systems40 citations
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Efficiently avoiding saddle points with zero order methods: No gradients required
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, G. Piliouras
2019Neural Information Processing Systems38 citations
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Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes
James P. Bailey, G. Piliouras
2019Neural Information Processing Systems38 citations
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The route to chaos in routing games: When is price of anarchy too optimistic?
Thiparat Chotibut, Fryderyk Falniowski, M. Misiurewicz, G. Piliouras
2019Neural Information Processing Systems34 citations
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Oceanic Games: Centralization Risks and Incentives in Blockchain Mining
Nikos Leonardos, Stefanos Leonardos, G. Piliouras
2019MaRBLe34 citations Open access
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Optimality Despite Chaos in Fee Markets
Stefanos Leonardos, Daniël Reijsbergen, B. Monnot, G. Piliouras
2022Financial Cryptography33 citations Open access
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Learning in Matrix Games can be Arbitrarily Complex
G. Andrade, Rafael M. Frongillo, G. Piliouras
2021Annual Conference Computational Learning Theory33 citations
Semantic Scholar
Follow-the-Regularized-Leader Routes to Chaos in Routing Games
J. Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Grzegorz Kosiorowski +2 more
2021International Conference on Machine Learning31 citations
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Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
G. Piliouras, Ryann Sim, Stratis Skoulakis
2021Neural Information Processing Systems31 citations
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Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models
C. Koki, Stefanos Leonardos, G. Piliouras
2020Research In International Business and Finance31 citations Open access
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Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO
Paul Muller, Mark Rowland, R. Élie, G. Piliouras +5 more
2021Adaptive Agents and Multi-Agent Systems29 citations
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Alternating Mirror Descent for Constrained Min-Max Games
Andre Wibisono, Molei Tao, G. Piliouras
2022Neural Information Processing Systems28 citations Open access
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From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics
Sai Ganesh Nagarajan, David Balduzzi, G. Piliouras
2020International Conference on Machine Learning22 citations
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Learning in Markets: Greed Leads to Chaos but Following the Price is Right
Yun-Kuen Cheung, Stefanos Leonardos, G. Piliouras
2021International Joint Conference on Artificial Intelligence21 citations Open access
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AdaGrad Avoids Saddle Points
Kimon Antonakopoulos, P. Mertikopoulos, G. Piliouras, Xiao Wang
2022International Conference on Machine Learning19 citations
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Optimal No-Regret Learning in General Games: Bounded Regret with Unbounded Step-Sizes via Clairvoyant MWU
G. Piliouras, Ryann Sim, Stratis Skoulakis
2021arXiv.org19 citations
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Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
I. Gemp, Luke Marris, G. Piliouras
2023International Conference on Learning Representations18 citations Open access
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Online Learning in Periodic Zero-Sum Games
Tanner Fiez, Ryann Sim, Stratis Skoulakis, G. Piliouras +1 more
2021Neural Information Processing Systems18 citations
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Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
Stratis Skoulakis, Tanner Fiez, Ryan Sim, G. Piliouras +1 more
2020AAAI Conference on Artificial Intelligence18 citations Open access
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Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics
A. Hussain, F. Belardinelli, G. Piliouras
2023Adaptive Agents and Multi-Agent Systems16 citations Open access
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Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, G. Piliouras
2021Neural Information Processing Systems16 citations
Semantic Scholar
Smooth markets: A basic mechanism for organizing gradient-based learners
David Balduzzi, W. Czarnecki, Thomas W. Anthony, I. Gemp +4 more
2020International Conference on Learning Representations15 citations
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Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
Dimitris Fotakis, Thanasis Lianeas, G. Piliouras, Stratis Skoulakis
2020Neural Information Processing Systems13 citations
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Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence
Rahul Jain, G. Piliouras, Ryann Sim
2022Neural Information Processing Systems11 citations Open access
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Nash, Conley, and Computation: Impossibility and Incompleteness in Game Dynamics
Jason Milionis, Christos Papadimitriou, G. Piliouras, Kelly Spendlove
2022arXiv.org11 citations Open access
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Data-Driven Models of Selfish Routing: Why Price of Anarchy Does Depend on Network Topology
Francisco Benita, V. Bilò, B. Monnot, G. Piliouras +1 more
2020Workshop on Internet and Network Economics11 citations Open access
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No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
Davide Legacci, P. Mertikopoulos, Christos Papadimitriou, G. Piliouras +1 more
2024Neural Information Processing Systems10 citations
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Generative Adversarial Equilibrium Solvers
Denizalp Goktas, D. Parkes, I. Gemp, Luke Marris +4 more
2023International Conference on Learning Representations10 citations Open access
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Learning Correlated Equilibria in Mean-Field Games
Paul Muller, R. Élie, Mark Rowland, Mathieu Laurière +6 more
2022arXiv.org9 citations Open access
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Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs
Andjela Mladenovic, Iosif Sakos, G. Gidel, G. Piliouras
2022International Conference on Learning Representations9 citations
Semantic Scholar
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
Yun-Kuen Cheung, G. Piliouras
2021International Conference on Machine Learning9 citations
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MEV Sharing with Dynamic Extraction Rates
Pedro Braga, Georgios Chionas, P. Krysta, Stefanos Leonardos +2 more
2024DeFi@CCS8 citations Open access
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Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games
Luke Marris, I. Gemp, G. Piliouras
2023arXiv.org8 citations Open access
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Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps
V. Cevher, G. Piliouras, Ryann Sim, Stratis Skoulakis
2023SIAM Symposium on Simplicity in Algorithms7 citations Open access
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