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  • 标题:Bounds for the Communication Complexity of Two-Player Approximate Correlated Equilibria
  • 本地全文:下载
  • 作者:Young Kun Ko ; Arial Schvartzman
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2017
  • 卷号:2017
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    In the recent paper of~\cite{BR16}, the authors show that, for any constant \varepsilon > 0"> 1 0 − 15 0 the communication complexity of -approximate Nash equilibria in 2 -player n n games is n ( ) , resolving the long open problem of whether or not there exists a polylogarithmic communication protocol. In this paper we address an open question they pose regarding the communication complexity of 2 -player -approximate correlated equilibria.

    For our upper bounds, we provide a communication protocol that outputs a -approximate correlated equilibrium for multiplayer multi-action games after exchanging O ( m n 4 − 4 ) bits, saving over the naive O ( m n m ) -bits protocol when the number of players is large.

    For our lower bounds, we exhibit a simple two player game that has a logarithmic information lower bound: for any ( n − 1 ) 1 10 , the two players need to communicate ( − 1 2 log n ) -bits of information to compute any -correlated equilibrium in the game. For the m -players, 2 -action setting we show a lower bound of ( m ) bits, which matches the upper bound up to polylogarithmic terms and shows that the linear dependence on the number of players is unavoidable.

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