← Authors

Georgios Piliouras

53 papers · 2017–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (32) 🏠 Conference Loyalist (21) 🧬 Topic Evolution πŸ† Keyword Champion (6) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (21) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (121) πŸ”₯ Unstoppable (7) ❓ The Questioner πŸ’Ž Century Club (53) ⚑ Prolific Year (7)

Conferences

NIPS (21) ICML (12) ICLR (11) COLT (4) AAAI (2) IJCAI (2) L4DC (1)

Top co-authors

Ian Gemp (7) Emmanouil-Vasileios Vlatakis-Gkaragkounis (6) Stratis Skoulakis (6) Ioannis Panageas (5) Stefanos Leonardos (5) Ryann Sim (5) Luke Marris (5) Panayotis Mertikopoulos (5) Yun Kuen Cheung (5) Iosif Sakos (4)

Keywords

game theory (15) zero-sum game (12) nash equilibrium (11) regret bound (8) multi-agent system (8) online learning (6) learning dynamics (6) dynamical system (6) multi-agent learning (6) multiplicative weights update (5) gradient descent (4) non-convex optimization (4) saddle point (3) replicator dynamics (3) poincarΓ© recurrence (3) poincare recurrence (3) constrained optimization (2) gradient descent ascent (2) generative adversarial network (2) mirror descent (2)

Papers

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
Solving Zero-Sum Convex Markov Games ICML 2025
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning ICML 2025
Re-evaluating Open-ended Evaluation of Large Language Models ICLR 2025
Scalable AI Safety via Doubly-Efficient Debate ICML 2024
Convergence of No-Swap-Regret Dynamics in Self-Play NIPS 2024
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests NIPS 2024
Generative Adversarial Equilibrium Solvers ICLR 2024
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games ICLR 2024
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ICLR 2024
NfgTransformer: Equivariant Representation Learning for Normal-form Games ICLR 2024
Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg ICML 2024
Alternation makes the adversary weaker in two-player games NIPS 2023
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NIPS 2023
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium NIPS 2023
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics IJCAI 2023
Alternating Mirror Descent for Constrained Min-Max Games NIPS 2022
AdaGrad Avoids Saddle Points ICML 2022
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence NIPS 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games ICML 2022
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update NIPS 2022
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games ICLR 2022
The Evolution of Uncertainty of Learning in Games ICLR 2022
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs ICLR 2022
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality NIPS 2021
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory AAAI 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games AAAI 2021
Learning in Matrix Games can be Arbitrarily Complex COLT 2021
Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021
Follow-the-Regularized-Leader Routes to Chaos in Routing Games ICML 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and PoincarΓ© Recurrence ICML 2021
Efficient Online Learning for Dynamic k-Clustering ICML 2021
From PoincarΓ© Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent NIPS 2021
Online Learning in Periodic Zero-Sum Games NIPS 2021
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 NIPS 2020
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent NIPS 2020
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games NIPS 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? NIPS 2020
First-order methods almost always avoid saddle points: The case of vanishing step-sizes NIPS 2019
Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games COLT 2019
Efficiently avoiding saddle points with zero order methods: No gradients required NIPS 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes NIPS 2019
Multiagent Evaluation under Incomplete Information NIPS 2019
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019
The Unusual Effectiveness of Averaging in GAN Training ICLR 2019
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile ICLR 2019
PoincarΓ© Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games NIPS 2019
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos NIPS 2017