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arXiv:1608.06580cs.GT

Communication complexity of approximate Nash equilibria

Yakov Babichenko, Aviad Rubinstein

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

For a constant $ε$, we prove a poly(N) lower bound on the (randomized) communication complexity of $ε$-Nash equilibrium in two-player NxN 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.

arXiv comments
Second revision extends the lower bounds to randomized communication
Journal reference
DOI
Subjects
cs.GTComputer Science and Game Theory cs.CCComputational Complexity

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Linked by 1 identifiable commenter in 3 comments across 3 threads, from Oct 2017 to Oct 2020. Found in 2 HN submissions from Aug 2017 to Oct 2017. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments3 threads

    • Yeah, even with unbounded computational power, Nash equilibria are communication-hard; i.e., you need exponentially many bits for an n-player game to converge to an equilibrium, even when all players have unbounded computational power. See https://arxiv.org/pdf/1608.06580.pdf.

      LolWolfView on HNParent context

    • Upvoted due to the interesting story, but the point is conceptually unclear (at least to me, but I'm quite slow) how would this improve my cognitive toolkit? I understand the (one) example presented apart from wrestling, but it is not quite obvious that the actual framework of…

      LolWolfView on HNParent context

    • I've seen this paper enough to warrant a comment. The paper makes no reduction that the market is computing in P, so it's unclear to me how this conclusion of P=NP iff EMH is warranted by the paper. Perhaps more clearly showing the connection between 'complexity' in the general…

      LolWolfView on HNParent context

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