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Entropy (Basel, Switzerland)|December 3, 2020
From Nash Equilibria to Chain Recurrent Sets: An Algorithmic Solution Concept for Game TheoryChristos Papadimitriou, Georgios Piliouras
Proceedings of the National Academy of Sciences of the United States of America|October 5, 2023
An impossibility theorem in game dynamicsJason Milionis, Christos Papadimitriou, Georgios Piliouras, et al.
Scientific Reports|July 11, 2019
α-Rank: Multi-Agent Evaluation by EvolutionShayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras, et al.
Royal Society Open Science|November 18, 2020
Learning agents in Black-Scholes financial marketsTushar Vaidya, Carlos Murguia, Georgios Piliouras
Proceedings of the National Academy of Sciences of the United States of America|October 29, 2014
Algorithms, complexity, and the sciencesChristos Papadimitriou
Chaos (Woodbury, N.Y.)|January 29, 2024
Memory loss can prevent chaos in games dynamicsJakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Heterogeneity, reinforcement learning, and chaos in population gamesJakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, et al.
Annals of Translational Medicine|January 25, 2021
Current practices on genetic testing in ovarian cancerFlorentia Fostira, Marios Papadimitriou, Christos Papadimitriou
Journal of Theoretical Biology|December 7, 2010
An analytical contrast between fitness maximization and selection for mixabilityAdi Livnat, Christos Papadimitriou, Marcus W Feldman
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