Dec 14, 2019
In this talk we will consider on games where players use a form of learning that helps them adapt to a changing environment. We ask if the quantitative guarantees obtained for Nash equilibria for this class of games extend to such out of equilibrium game play, when the game or the population of players is dynamically changing and where participants have to adapt to the dynamic environment.
Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.
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