Multiplicative updates outperform generic no-regret learning in congestion games: extended abstract. - Robert Kleinberg; Georgios Piliouras; Éva Tardos (STOC, 2009)

No Regret Learning in Oligopolies: Cournot vs. Bertrand. - Uri Nadav; Georgios Piliouras (SAGT, 2010)

Coalition Formation and Price of Anarchy in Cournot Oligopolies. - Nicole Immorlica; Evangelos Markakis; Georgios Piliouras (WINE, 2010)

A learning theoretic approach to algorithmic game theory. - Georgios Piliouras (2010)

Game couplings: Learning dynamics and applications. - Maria-Florina Balcan; Florin Constantin; Georgios Piliouras; Jeff S. Shamma (CDC/ECC, 2011)

Beyond the Nash Equilibrium Barrier. - Robert D. Kleinberg; Katrina Ligett; Georgios Piliouras; Éva Tardos (ICS, 2011)

Near Optimality in Covering and Packing Games by Exposing Global Information - Maria-Florina Balcan; Sara Krehbiel; Georgios Piliouras; Jinwoo Shin (CoRR, 2011)

Load balancing without regret in the bulletin board model. - Robert Kleinberg; Georgios Piliouras; Éva Tardos (Distributed Comput., 2011)

Beating the best Nash without regret. - Katrina Ligett; Georgios Piliouras (SIGecom Exch., 2011)

Minimally invasive mechanism design: Distributed covering with carefully chosen advice. - Maria-Florina Balcan; Sara Krehbiel; Georgios Piliouras; Jinwoo Shin (CDC, 2012)

Persistent patterns: multi-agent learning beyond equilibrium and utility. - Georgios Piliouras; Carlos Nieto-Granda; Henrik I. Christensen; Jeff S. Shamma (AAMAS, 2014)

Optimization Despite Chaos: Convex Relaxations to Complex Limit Sets via Poincaré Recurrence. - Georgios Piliouras; Jeff S. Shamma (SODA, 2014)

Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics. - Ruta Mehta; Ioannis Panageas; Georgios Piliouras (CoRR, 2014)

The Complexity of Genetic Diversity: Sex with Two Chromosomes is Advantageous but Unpredictable. - Ruta Mehta; Ioannis Panageas; Georgios Piliouras; Sadra Yazdanbod (CoRR, 2014)

Average Case Equilibria. - Ioannis Panageas; Georgios Piliouras (CoRR, 2014)

Near-Optimality in Covering Games by Exposing Global Information. - Maria-Florina Balcan; Sara Krehbiel; Georgios Piliouras; Jinwoo Shin (ACM Trans. Economics and Comput., 2014)

Natural Selection as an Inhibitor of Genetic Diversity: Multiplicative Weights Updates Algorithm and a Conjecture of Haploid Genetics [Working Paper Abstract]. - Ruta Mehta; Ioannis Panageas; Georgios Piliouras (ITCS, 2015)

Approximating Nash Equilibria in Tree Polymatrix Games. - Siddharth Barman; Katrina Ligett; Georgios Piliouras (SAGT, 2015)

The game of survival: Sexual evolution in dynamic environments. - Ruta Mehta; Ioannis Panageas; Georgios Piliouras; Prasad Tetali; Vijay V. Vazirani (CoRR, 2015)

LP-Based Covering Games with Low Price of Anarchy. - Georgios Piliouras; Tomás Valla; László A. Végh (Theory Comput. Syst., 2015)

Inferring Activities and Optimal Trips: Lessons From Singapore's National Science Experiment. - Barnabé Monnot; Erik Wilhelm; Georgios Piliouras; Yuren Zhou; Daniel Dahlmeier; Hai Yun Lu; Wang Jin (CSDM Asia, 2016)

The Computational Complexity of Genetic Diversity. - Ruta Mehta; Ioannis Panageas; Georgios Piliouras; Sadra Yazdanbod (ESA, 2016)

From Nash Equilibria to Chain Recurrent Sets: Solution Concepts and Topology. - Christos H. Papadimitriou; Georgios Piliouras (ITCS, 2016)

Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of Attraction. - Ioannis Panageas; Georgios Piliouras (EC, 2016)

Gradient Descent Converges to Minimizers: The Case of Non-Isolated Critical Points. - Ioannis Panageas; Georgios Piliouras (CoRR, 2016)

Risk Sensitivity of Price of Anarchy under Uncertainty. - Georgios Piliouras; Evdokia Nikolova; Jeff S. Shamma (ACM Trans. Economics and Comput., 2016)

Mutation, Sexual Reproduction and Survival in Dynamic Environments. - Ruta Mehta; Ioannis Panageas; Georgios Piliouras; Prasad Tetali; Vijay V. Vazirani (ITCS, 2017)

Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions. - Ioannis Panageas; Georgios Piliouras (ITCS, 2017)

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

Bifurcation Mechanism Design - from Optimal Flat Taxes to Improved Cancer Treatments. - Ger Yang; Georgios Piliouras; David Basanta (EC, 2017)

Routing Games in the Wild: Efficiency, Equilibration and Regret - Large-Scale Field Experiments in Singapore. - Barnabé Monnot; Francisco Benita; Georgios Piliouras (WINE, 2017)

How bad is selfish routing in practice? - Barnabé Monnot; Francisco Benita; Georgios Piliouras (CoRR, 2017)

Learning Agents in Black-Scholes Financial Markets: Consensus Dynamics and Volatility Smiles. - Tushar Vaidya; Carlos Murguia; Georgios Piliouras (CoRR, 2017)

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. - Zhe Wang 019; Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Sibo Song; Fang Yuan; Kim Seokhwan; Nancy F. Chen; Luis Fernando D'Haro; Anh Tuan Luu; Hongyuan Zhu; Zeng Zeng; et al. (CoRR, 2017)

First-order Methods Almost Always Avoid Saddle Points. - Jason D. Lee; Ioannis Panageas; Georgios Piliouras; Max Simchowitz; Michael I. Jordan; Benjamin Recht (CoRR, 2017)

Limits and limitations of no-regret learning in games. - Barnabé Monnot; Georgios Piliouras (Knowl. Eng. Rev., 2017)

Three Body Problems in Evolutionary Game Dynamics: Convergence, Periodicity and Limit Cycles. - Sai Ganesh Nagarajan; Sameh Mohamed; Georgios Piliouras (AAMAS, 2018)

Learning Agents in Financial Markets: Consensus Dynamics on Volatility. - Tushar Vaidya; Carlos Murguia; Georgios Piliouras (AAMAS, 2018)

Learning Dynamics and the Co-Evolution of Competing Sexual Species. - Georgios Piliouras; Leonard J. Schulman (ITCS, 2018)

Rethinking Blockchain Security: Position Paper. - Vincent Chia; Pieter H. Hartel; Qingze Hum; Sebastian Ma; Georgios Piliouras; Daniël Reijsbergen; Mark van Staalduinen; Pawel Szalachowski (iThings/GreenCom/CPSCom/SmartData, 2018)

Multiplicative Weights Update in Zero-Sum Games. - James P. Bailey; Georgios Piliouras (EC, 2018)

Cycles in Adversarial Regularized Learning. - Panayotis Mertikopoulos; Christos H. Papadimitriou; Georgios Piliouras (SODA, 2018)

Mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Houssam Zenati; Bruno Lecouat; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (CoRR, 2018)

From Nash Equilibria to Chain Recurrent Sets: An Algorithmic Solution Concept for Game Theory. - Christos H. Papadimitriou; Georgios Piliouras (Entropy, 2018)

Bifurcation Mechanism Design - From Optimal Flat Taxes to Better Cancer Treatments. - Ger Yang; David Basanta; Georgios Piliouras (Games, 2018)

Game dynamics as the meaning of a game. - Christos H. Papadimitriou; Georgios Piliouras (SIGecom Exch., 2018)

Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System. - James P. Bailey; Georgios Piliouras (AAMAS, 2019)

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

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. - Panayotis Mertikopoulos; Bruno Lecouat; Houssam Zenati; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Georgios Piliouras (ICLR (Poster), 2019)

The Unusual Effectiveness of Averaging in GAN Training. - Yasin Yazici; Chuan-Sheng Foo; Stefan Winkler 001; Kim-Hui Yap; Georgios Piliouras; Vijay Chandrasekhar 001 (ICLR (Poster), 2019)

Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always. - Ioannis Panageas; Georgios Piliouras; Xiao Wang 036 (ICML, 2019)

Oceanic Games: Centralization Risks and Incentives in Blockchain Mining. - Nikos Leonardos; Stefanos Leonardos; Georgios Piliouras (MARBLE, 2019)

Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes. - James P. 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 036 (NeurIPS, 2019)

Multiagent Evaluation under Incomplete Information. - Mark Rowland 001; Shayegan Omidshafiei; Karl Tuyls; Julien Pérolat; Michal Valko; Georgios Piliouras; Rémi Munos (NeurIPS, 2019)

Efficiently avoiding saddle points with zero order methods: No gradients required. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Georgios Piliouras (NeurIPS, 2019)

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

Wealth Inequality and the Price of Anarchy. - Kurtulus Gemici; Elias Koutsoupias; Barnabé Monnot; Christos H. Papadimitriou; Georgios Piliouras (STACS, 2019)

From Darwin to Poincaré and von Neumann: Recurrence and Cycles in Evolutionary and Algorithmic Game Theory. - Victor Boone; Georgios Piliouras (WINE, 2019)

Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions. - Yasin Yazici; Bruno Lecouat; Chuan-Sheng Foo; Stefan Winkler 001; Kim-Hui Yap; Georgios Piliouras; Vijay Chandrasekhar 001 (CoRR, 2019)

Short-distance commuters in the smart city. - Francisco Benita; Garvit Bansal; Georgios Piliouras; Bige Tunçer (CoRR, 2019)

α-Rank: Multi-Agent Evaluation by Evolution. - Shayegan Omidshafiei; Christos H. Papadimitriou; Georgios Piliouras; Karl Tuyls; Mark Rowland 001; Jean-Baptiste Lespiau; Wojciech M. Czarnecki; Marc Lanctot; Julien Pérolat; Rémi Munos (CoRR, 2019)

The route to chaos in routing games: Population increase drives period-doubling instability, chaos & inefficiency with Price of Anarchy equal to one. - Thiparat Chotibut; Fryderyk Falniowski; Michal Misiurewicz; Georgios Piliouras (CoRR, 2019)

Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models. - Tushar Vaidya; Thiparat Chotibut; Georgios Piliouras (CoRR, 2019)

First-order methods almost always avoid strict saddle points. - Jason D. Lee; Ioannis Panageas; Georgios Piliouras; Max Simchowitz; Michael I. Jordan; Benjamin Recht (Math. Program., 2019)

Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction. - Sai Ganesh Nagarajan; David Balduzzi; Georgios Piliouras (AAMAS, 2020)

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

Smooth markets: A basic mechanism for organizing gradient-based learners. - David Balduzzi; Wojciech M. Czarnecki; Tom Anthony 001; Ian Gemp; Edward Hughes 001; Joel Z. Leibo; Georgios Piliouras; Thore Graepel (ICLR, 2020)

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

Chaos, Extremism and Optimism: Volume Analysis of Learning in Games. - Yun Kuen Cheung; Georgios Piliouras (NeurIPS, 2020)

The route to chaos in routing games: When is price of anarchy too optimistic? - Thiparat Chotibut; Fryderyk Falniowski; Michal Misiurewicz; Georgios Piliouras (NeurIPS, 2020)

Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent. - Dimitris Fotakis 001; Thanasis Lianeas; Georgios Piliouras; Stratis Skoulakis (NeurIPS, 2020)

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

Data-Driven Models of Selfish Routing: Why Price of Anarchy Does Depend on Network Topology. - Francisco Benita; Vittorio Bilò; Barnabé Monnot; Georgios Piliouras; Cosimo Vinci (WINE, 2020)

Catastrophe by Design in Population Games: Destabilizing WastefulLocked-In Technologies. - Stefanos Leonardos; Iosif Sakos; Costas Courcoubetis; Georgios Piliouras (WINE, 2020)

Catastrophe by Design in Population Games: Destabilizing Wasteful Locked-in Technologies. - Stefanos Leonardos; Iosif Sakos; Costas Courcoubetis; Georgios Piliouras (CoRR, 2020)

Do Cryptocurrency Prices Camouflage Latent Economic Effects? A Bayesian Hidden Markov Approach. - Constandina Koki; Stefanos Leonardos; Georgios Piliouras (Future Internet, 2020)

Incentives in Ethereum's hybrid Casper protocol. - Vitalik Buterin; Daniël Reijsbergen; Stefanos Leonardos; Georgios Piliouras (Int. J. Netw. Manag., 2020)

Weighted voting on the blockchain: Improving consensus in proof of stake protocols. - Stefanos Leonardos; Daniël Reijsbergen; Georgios Piliouras (Int. J. Netw. Manag., 2020)

PREStO: A Systematic Framework for Blockchain Consensus Protocols. - Stefanos Leonardos; Daniël Reijsbergen; Georgios Piliouras (IEEE Trans. Engineering Management, 2020)

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

Dynamical analysis of the EIP-1559 Ethereum fee market. - Stefanos Leonardos; Barnabé Monnot; Daniël Reijsbergen; Efstratios Skoulakis; Georgios Piliouras (AFT, 2021)

A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. - Jin Xing Lim; Barnabé Monnot; Shaowei Lin; Georgios Piliouras (Blockchain, 2021)

Transaction Fees on a Honeymoon: Ethereum's EIP-1559 One Month Later. - Daniël Reijsbergen; Shyam Sridhar; Barnabé Monnot; Stefanos Leonardos; Stratis Skoulakis; Georgios Piliouras (Blockchain, 2021)

Learning in Matrix Games can be Arbitrarily Complex. - Gabriel P. Andrade; Rafael M. Frongillo; Georgios Piliouras (COLT, 2021)

On the Approximability of Multistage Min-Sum Set Cover. - Dimitris Fotakis 001; Panagiotis Kostopanagiotis; Vasileios Nakos; Georgios Piliouras; Stratis Skoulakis (ICALP, 2021)

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

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

Efficient Online Learning for Dynamic k-Clustering. - Dimitris Fotakis 001; Georgios Piliouras; Stratis Skoulakis (ICML, 2021)

From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. - Julien Pérolat; Rémi Munos; Jean-Baptiste Lespiau; Shayegan Omidshafiei; Mark Rowland 001; Pedro A. Ortega; Neil Burch; Thomas W. Anthony 001; David Balduzzi; Bart De Vylder; Georgios Piliouras; Marc Lanctot; et al. (ICML, 2021)

Learning in Markets: Greed Leads to Chaos but Following the Price is Right. - Yun Kuen Cheung; Stefanos Leonardos; Georgios Piliouras (IJCAI, 2021)

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

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

Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Georgios Piliouras (NeurIPS, 2021)

Scaling up Mean Field Games with Online Mirror Descent. - Julien Pérolat; Sarah Perrin; Romuald Elie; Mathieu Laurière; Georgios Piliouras; Matthieu Geist; Karl Tuyls; Olivier Pietquin (CoRR, 2021)

From Griefing to Stability in Blockchain Mining Economies. - Yun Kuen Cheung; Stefanos Leonardos; Georgios Piliouras; Shyam Sridhar (CoRR, 2021)

Evolutionary Dynamics and Φ-Regret Minimization in Games. - Georgios Piliouras; Mark Rowland 001; Shayegan Omidshafiei; Romuald Elie; Daniel Hennes; Jerome T. Connor; Karl Tuyls (CoRR, 2021)

Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics. - Georgios Piliouras; Xiao Wang 036 (CoRR, 2021)

Stochastic Multiplicative Weights Updates in Zero-Sum Games. - James P. Bailey; Sai Ganesh Nagarajan; Georgios Piliouras (CoRR, 2021)

Optimal No-Regret Learning in General Games: Bounded Regret with Unbounded Step-Sizes via Clairvoyant MWU. - Georgios Piliouras; Ryann Sim; Stratis Skoulakis (CoRR, 2021)

Poincaré-Bendixson Limit Sets in Multi-Agent Learning. - Aleksander Czechowski; Georgios Piliouras (AAMAS, 2022)

Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. - Paul Muller; Mark Rowland 001; Romuald Elie; Georgios Piliouras; Julien Pérolat; Mathieu Laurière; Raphaël Marinier; Olivier Pietquin; Karl Tuyls (AAMAS, 2022)

Scaling Mean Field Games by Online Mirror Descent. - Julien Pérolat; Sarah Perrin; Romuald Elie; Mathieu Laurière; Georgios Piliouras; Matthieu Geist; Karl Tuyls; Olivier Pietquin (AAMAS, 2022)

Blockchain-based Mechanism Design for Collaborative Mathematical Research. - Jin Xing Lim; Barnabé Monnot; Georgios Piliouras (ICBC, 2022)

Mixed Membership Generative Adversarial Networks. - Yasin Yazici; Bruno Lecouat; Kim-Hui Yap; Stefan Winkler 001; Georgios Piliouras; Vijay Chandrasekhar 001; Chuan-Sheng Foo (ICIP, 2022)

The Evolution of Uncertainty of Learning in Games. - Yun Kuen Cheung; Georgios Piliouras; Yixin Tao (ICLR, 2022)

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

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

AdaGrad Avoids Saddle Points. - Kimon Antonakopoulos; Panayotis Mertikopoulos; Georgios Piliouras; Xiao Wang 036 (ICML, 2022)

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. - Mathieu Laurière; Sarah Perrin; Sertan Girgin; Paul Muller; Ayush Jain; Theophile Cabannes; Georgios Piliouras; Julien Pérolat; Romuald Elie; Olivier Pietquin; Matthieu Geist (ICML, 2022)

Market Equilibria and Risk Diversification in Blockchain Mining Economies. - Yun Kuen Cheung; Stefanos Leonardos; Shyam Sridhar; Georgios Piliouras (MARBLE, 2022)

Griefing Factors and Evolutionary In-Stabilities in Blockchain Mining Games. - Stefanos Leonardos; Shyam Sridhar; Yun Kuen Cheung; Georgios Piliouras (MARBLE, 2022)

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

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

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

Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games. - Georgios Piliouras; Lillian J. Ratliff; Ryann Sim; Stratis Skoulakis (SAGT, 2022)

Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory. - Stefanos Leonardos; Georgios Piliouras (Artif. Intell., 2022)

Unpredictable dynamics in congestion games: memory loss can prevent chaos. - Jakub Bielawski; Thiparat Chotibut; Fryderyk Falniowski; Michal Misiurewicz; Georgios Piliouras (CoRR, 2022)

Nash, Conley, and Computation: Impossibility and Incompleteness in Game Dynamics. - Jason Milionis; Christos H. Papadimitriou; Georgios Piliouras; Kelly Spendlove (CoRR, 2022)

Learning Correlated Equilibria in Mean-Field Games. - Paul Muller; Romuald Elie; Mark Rowland 001; Mathieu Laurière; Julien Pérolat; Sarah Perrin; Matthieu Geist; Georgios Piliouras; Olivier Pietquin; Karl Tuyls (CoRR, 2022)

Evolutionary Dynamics and Phi-Regret Minimization in Games. - Georgios Piliouras; Mark Rowland 001; Shayegan Omidshafiei; Romuald Elie; Daniel Hennes; Jerome T. Connor; Karl Tuyls (J. Artif. Intell. Res., 2022)

Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division. - Barnabé Monnot; Francisco Benita; Georgios Piliouras (ACM Trans. Economics and Comput., 2022)

Asymptotic Convergence and Performance of Multi-Agent Q-learning Dynamics. - Aamal Abbas Hussain; Francesco Belardinelli; Georgios Piliouras (AAMAS, 2023)

Optimality Despite Chaos in Fee Markets. - Stefanos Leonardos; Daniël Reijsbergen; Barnabé Monnot; Georgios Piliouras (FC, 2023)

Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics. - Aamal Abbas Hussain; Francesco Belardinelli; Georgios Piliouras (IJCAI, 2023)

Alternation makes the adversary weaker in two-player games. - Volkan Cevher; Ashok Cutkosky; Ali Kavis; Georgios Piliouras; Stratis Skoulakis; Luca Viano (NeurIPS, 2023)

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

Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. - Iosif Sakos; Emmanouil V. Vlatakis-Gkaragkounis; Panayotis Mertikopoulos; Georgios Piliouras (NeurIPS, 2023)

No-Regret Learning in Games is Turing Complete. - Gabriel P. Andrade; Rafael M. Frongillo; Georgios Piliouras (EC, 2023)

Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos. - Georgios Piliouras; Fang-Yi Yu (EC, 2023)

Min-Max Optimization Made Simple: Approximating the Proximal Point Method via Contraction Maps. - Volkan Cevher; Georgios Piliouras; Ryann Sim; Stratis Skoulakis (SOSA, 2023)

Heterogeneous Beliefs and Multi-Population Learning in Network Games. - Shuyue Hu; Harold Soh; Georgios Piliouras (CoRR, 2023)

Quantum Potential Games, Replicator Dynamics, and the Separability Problem. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (CoRR, 2023)

Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games. - Luke Marris; Ian Gemp; Georgios Piliouras (CoRR, 2023)

Chaos persists in large-scale multi-agent learning despite adaptive learning rates. - Emmanouil V. Vlatakis-Gkaragkounis; Lampros Flokas; Georgios Piliouras (CoRR, 2023)

Multiplicative Updates for Online Convex Optimization over Symmetric Cones. - Ilayda Canyakmaz; Wayne Lin; Georgios Piliouras; Antonios Varvitsiotis (CoRR, 2023)

Discovering How Agents Learn Using Few Data. - Iosif Sakos; Antonios Varvitsiotis; Georgios Piliouras (CoRR, 2023)

Stability of Multi-Agent Learning: Convergence in Network Games with Many Players. - Aamal Abbas Hussain; Dan Leonte; Francesco Belardinelli; Georgios Piliouras (CoRR, 2023)

Catastrophe by Design in Population Games: A Mechanism to Destabilize Inefficient Locked-in Technologies. - Stefanos Leonardos; Joseph Sakos; Costas Courcoubetis; Georgios Piliouras (ACM Trans. Economics and Comput., 2023)

Non-chaotic limit sets in multi-agent learning. - Aleksander Czechowski; Georgios Piliouras (Auton. Agents Multi Agent Syst., 2023)

Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism. - Pedro Braga; Georgios Chionas; Piotr Krysta; Stefanos Leonardos; Georgios Piliouras; Carmine Ventre (AAMAS, 2024)

Approximating the Core via Iterative Coalition Sampling. - Ian Gemp; Marc Lanctot; Luke Marris; Yiran Mao; Edgar A. Duéñez-Guzmán; Sarah Perrin; András György 001; Romuald Elie; Georgios Piliouras; Michael Kaisers; Daniel Hennes; Kalesha Bullard; et al. (AAMAS, 2024)

On the Stability of Learning in Network Games with Many Players. - Aamal Abbas Hussain; Dan Leonte; Francesco Belardinelli; Georgios Piliouras (AAMAS, 2024)

Neural Population Learning beyond Symmetric Zero-Sum Games. - Siqi Liu 002; Luke Marris; Marc Lanctot; Georgios Piliouras; Joel Z. Leibo; Nicolas Heess (AAMAS, 2024)

MEV Sharing with Dynamic Extraction Rates. - Pedro Braga; Georgios Chionas; Piotr Krysta; Stefanos Leonardos; Georgios Piliouras; Carmine Ventre (DeFi@CCS, 2024)

NfgTransformer: Equivariant Representation Learning for Normal-form Games. - Siqi Liu 002; Luke Marris; Georgios Piliouras; Ian Gemp; Nicolas Heess (ICLR, 2024)

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization. - Ian Gemp; Luke Marris; Georgios Piliouras (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)

Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. - Iosif Sakos; Stefanos Leonardos; Stelios Andrew Stavroulakis; Will Overman; Ioannis Panageas; Georgios Piliouras (ICLR, 2024)

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

Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg. - Yi Feng; Georgios Piliouras; Xiao Wang 036 (ICML, 2024)

No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests. - Davide Legacci; Panayotis Mertikopoulos; Christos H. Papadimitriou; Georgios Piliouras; Bary S. R. Pradelski (NeurIPS, 2024)

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

Swim till You Sink: Computing the Limit of a Game. - Rashida Hakim; Jason Milionis; Christos H. Papadimitriou; Georgios Piliouras (SAGT, 2024)

Complex Dynamics in Autobidding Systems. - Renato Paes Leme; Georgios Piliouras; Jon Schneider; Kelly Spendlove; Song Zuo (EC, 2024)

States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. - Ian Gemp; Yoram Bachrach; Marc Lanctot; Roma Patel; Vibhavari Dasagi; Luke Marris; Georgios Piliouras; Siqi Liu 002; Karl Tuyls (CoRR, 2024)

On the Redistribution of Maximal Extractable Value: A Dynamic Mechanism. - Pedro Braga; Georgios Chionas; Stefanos Leonardos; Piotr Krysta; Georgios Piliouras; Carmine Ventre (CoRR, 2024)

Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package. - Luke Marris; Ian Gemp; Siqi Liu 002; Joel Z. Leibo; Georgios Piliouras (CoRR, 2024)

Steering game dynamics towards desired outcomes. - Ilayda Canyakmaz; Iosif Sakos; Wayne Lin; Antonios Varvitsiotis; Georgios Piliouras (CoRR, 2024)

Dynamical Analysis of Autobidding Systems. - Renato Paes Leme; Georgios Piliouras; Jon Schneider; Kelly Spendlove; Song Zuo (CoRR, 2024)

Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning. - Ian Gemp; Andreas Haupt; Luke Marris; Siqi Liu 002; Georgios Piliouras (CoRR, 2024)

Charting the Shapes of Stories with Game Theory. - Constantinos Daskalakis; Ian Gemp; Yanchen Jiang; Renato Paes Leme; Christos H. Papadimitriou; Georgios Piliouras (CoRR, 2024)

A theory of appropriateness with applications to generative artificial intelligence. - Joel Z. Leibo; Alexander Sasha Vezhnevets; Manfred Diaz; John P. Agapiou; William A. Cunningham; Peter Sunehag; Julia Haas; Raphael Koster; Edgar A. Duéñez-Guzmán; William S. Isaac; Georgios Piliouras; Stanley M. Bileschi; et al. (CoRR, 2024)

No-Regret Learning and Equilibrium Computation in Quantum Games. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (Quantum, 2024)

Auto-Bidding and Auctions in Online Advertising: A Survey. - Gagan Aggarwal; Ashwinkumar Badanidiyuru; Santiago R. Balseiro; Kshipra Bhawalkar; Yuan Deng; Zhe Feng 004; Gagan Goel; Christopher Liaw; Haihao Lu; Mohammad Mahdian; Jieming Mao; Aranyak Mehta; et al. (SIGecom Exch., 2024)

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

Re-evaluating Open-ended Evaluation of Large Language Models. - Siqi Liu 002; Ian Gemp; Luke Marris; Georgios Piliouras; Nicolas Heess; Marc Lanctot (ICLR, 2025)

Learning and steering game dynamics towards desirable outcomes. - Ilayda Canyakmaz; Iosif Sakos; Wayne Lin; Antonios Varvitsiotis; Georgios Piliouras (L4DC, 2025)

Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games. - Ashkan Soleymani; Georgios Piliouras; Gabriele Farina (EC, 2025)

Faster Rates for No-Regret Learning in General Games via Cautious Optimism. - Ashkan Soleymani; Georgios Piliouras; Gabriele Farina (STOC, 2025)

Interval maps mimicking circle rotations. - Jakub Bielawski; Thiparat Chotibut; Fryderyk Falniowski; Michal Misiurewicz; Georgios Piliouras (Commun. Nonlinear Sci. Numer. Simul., 2025)

Learning in Quantum Common-Interest Games and the Separability Problem. - Wayne Lin; Georgios Piliouras; Ryann Sim; Antonios Varvitsiotis (Quantum, 2025)

A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games. - Francisca Vasconcelos; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Panayotis Mertikopoulos; Georgios Piliouras; Michael I. Jordan (Quantum, 2025)

Agency Is Frame-Dependent. - David Abel; André Barreto 001; Michael Bowling; Will Dabney; Shi Dong; Steven Hansen 001; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Georgios Piliouras; Doina Precup; et al. (CoRR, 2025)

Deviation Ratings: A General, Clone-Invariant Rating Method. - Luke Marris; Siqi Liu 002; Ian Gemp; Georgios Piliouras; Marc Lanctot (CoRR, 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)

Passivity, No-Regret, and Convergent Learning in Contractive Games. - Hassan Abdelraouf; Georgios Piliouras; Jeff S. Shamma (CoRR, 2025)

Plasticity as the Mirror of Empowerment. - David Abel; Michael Bowling; André Barreto 001; Will Dabney; Shi Dong; Steven Hansen 001; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Georgios Piliouras; Doina Precup; et al. (CoRR, 2025)

Avoiding Obfuscation with Prover-Estimator Debate. - Jonah Brown-Cohen; Geoffrey Irving; Georgios Piliouras (CoRR, 2025)

Solving Zero-Sum Convex Markov Games. - Fivos Kalogiannis; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Ian Gemp; Georgios Piliouras (CoRR, 2025)

Optimism Without Regularization: Constant Regret in Zero-Sum Games. - John Lazarsfeld; Georgios Piliouras; Ryann Sim; Stratis Skoulakis (CoRR, 2025)

Multi-Agent Online Control with Adversarial Disturbances. - Anas Barakat; John Lazarsfeld; Georgios Piliouras; Antonios Varvitsiotis (CoRR, 2025)