Georgios Piliouras

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning ICML 2025 Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play COLT 2025 Learning and steering game dynamics towards desirable outcomes L4DC 2025 Re-evaluating Open-ended Evaluation of Large Language Models ICLR 2025 Solving Zero-Sum Convex Markov Games ICML 2025 Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ICLR 2024 Beating Price of Anarchy and Gradient Descent without Regret in Potential Games ICLR 2024 Convergence of No-Swap-Regret Dynamics in Self-Play NeurIPS 2024 Generative Adversarial Equilibrium Solvers ICLR 2024 NfgTransformer: Equivariant Representation Learning for Normal-form Games ICLR 2024 No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests NeurIPS 2024 Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg ICML 2024 Scalable AI Safety via Doubly-Efficient Debate ICML 2024 Alternation makes the adversary weaker in two-player games NeurIPS 2023 Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics IJCAI 2023 Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NeurIPS 2023 The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium NeurIPS 2023 AdaGrad Avoids Saddle Points ICML 2022 Alternating Mirror Descent for Constrained Min-Max Games NeurIPS 2022 Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update NeurIPS 2022 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs ICLR 2022 Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games ICLR 2022 Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence NeurIPS 2022 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022 The Evolution of Uncertainty of Learning in Games ICLR 2022 Efficient Online Learning for Dynamic k-Clustering ICML 2021 Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games AAAI 2021 Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality NeurIPS 2021 Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory AAAI 2021 Follow-the-Regularized-Leader Routes to Chaos in Routing Games ICML 2021 From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Matrix Games can be Arbitrarily Complex COLT 2021 Online Learning in Periodic Zero-Sum Games NeurIPS 2021 Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021 Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent NeurIPS 2021 Chaos, Extremism and Optimism: Volume Analysis of Learning in Games NeurIPS 2020 Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent NeurIPS 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent COLT 2020 From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics ICML 2020 No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix NeurIPS 2020 Smooth markets: A basic mechanism for organizing gradient-based learners ICLR 2020 The route to chaos in routing games: When is price of anarchy too optimistic? NeurIPS 2020 Efficiently avoiding saddle points with zero order methods: No gradients required NeurIPS 2019 Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes NeurIPS 2019 First-order methods almost always avoid saddle points: The case of vanishing step-sizes NeurIPS 2019 Multiagent Evaluation under Incomplete Information NeurIPS 2019 Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019 Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile ICLR 2019 Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games NeurIPS 2019 The Unusual Effectiveness of Averaging in GAN Training ICLR 2019 Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games COLT 2019 Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos NeurIPS 2017