Distributed Nash equilibrium seeking: A gossip-based algorithm

被引:183
|
作者
Salehisadaghiani, Farzad [1 ]
Pavel, Lacra [1 ]
机构
[1] Univ Toronto, Dept Elect & Comp Engn, 10 Kings Coll Rd, Toronto, ON M5S 3G4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Distributed algorithms; Noncooperative games; Communication graph; NONCOOPERATIVE GAMES; OPTIMIZATION; NETWORKS; CONVERGENCE; CONSTRAINTS;
D O I
10.1016/j.automatica.2016.06.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an asynchronous gossip-based algorithm for finding a Nash equilibrium (NE) of a game in a distributed multi-player network. The algorithm is designed in such a way that players make decisions based on estimates of the other players' actions obtained from local neighbors. Using a set of standard assumptions on the cost functions and communication graph, the paper proves almost sure convergence to a NE for diminishing step sizes. For constant step sizes an error bound on expected distance from a NE is established. The effectiveness of the proposed algorithm is demonstrated via simulation for both diminishing and constant step sizes. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:209 / 216
页数:8
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