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Adaptive learning in continuous games: Optimal regret bounds and convergence to Nash equilibrium
Author(s) -
Yu-Guan Hsieh,
Kimon Antonakopoulos,
Panayotis Mertikopoulos
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - nash equilibrium , regret , convergence (economics) , best response , epsilon equilibrium , mathematical economics , computer science , mathematical optimization , correlated equilibrium , equilibrium selection , game theory , mathematics , repeated game , economics , machine learning , economic growth

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