Communication complexity of approximate Nash equilibria

Yakov Babichenko, Aviad Rubinstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For a constant ϵ, we prove a poly(N) lower bound on the (randomized) communication complexity of ϵ-Nash equilibrium in two-player N × N games. For n-player binary-action games we prove an exp(n) lower bound for the (randomized) communication complexity of (ϵ, ϵ)-weak approximate Nash equilibrium, which is a profile of mixed actions such that at least (1 - ϵ)-fraction of the players are ϵ-best replying.

Original languageEnglish
Title of host publicationSTOC 2017 - Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing
EditorsPierre McKenzie, Valerie King, Hamed Hatami
Pages878-889
Number of pages12
ISBN (Electronic)9781450345286
DOIs
StatePublished - 19 Jun 2017
Event49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017 - Montreal, Canada
Duration: 19 Jun 201723 Jun 2017

Publication series

NameProceedings of the Annual ACM Symposium on Theory of Computing
VolumePart F128415
ISSN (Print)0737-8017

Conference

Conference49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017
Country/TerritoryCanada
CityMontreal
Period19/06/1723/06/17

Keywords

  • Approximate nash equilibria
  • Communication complexity
  • Convergence rate
  • Uncoupled dynamics

ASJC Scopus subject areas

  • Software

Fingerprint

Dive into the research topics of 'Communication complexity of approximate Nash equilibria'. Together they form a unique fingerprint.

Cite this