Video URL

https://simons.berkeley.edu/talks/dynamical-systems-and-learning-games-part-iii

Dynamical Systems and Learning in Games (Part III)

(2022). Dynamical Systems and Learning in Games (Part III). The Simons Institute for the Theory of Computing. https://simons.berkeley.edu/talks/dynamical-systems-and-learning-games-part-iii

Dynamical Systems and Learning in Games (Part III). The Simons Institute for the Theory of Computing, Jan. 26, 2022, https://simons.berkeley.edu/talks/dynamical-systems-and-learning-games-part-iii 

          @misc{ scivideos_19261,
            doi = {},
            url = {https://simons.berkeley.edu/talks/dynamical-systems-and-learning-games-part-iii},
            author = {},
            keywords = {},
            language = {en},
            title = {Dynamical Systems and Learning in Games (Part III)},
            publisher = {The Simons Institute for the Theory of Computing},
            year = {2022},
            month = {jan},
            note = {19261 see, \url{https://scivideos.org/Simons-Institute/19261}}
          }
Georgios Piliouras (Singapore University of Technology and Design)
Source Repository Simons Institute
Subject

Abstract

We examine questions in game theory and online learning from a dynamical systems perspective. Specifically, the goal of the tutorial is to establish links between typically distinct tools such as optimization theory (regret analysis), chaos theory, topology of dynamical systems and more traditional game theoretic ideas such as different classes of equilibria and Price of Anarchy. We will use these connections to elucidate recent results in the area as well as pose open questions.