ON BEST-RESPONSE DYNAMICS IN POTENTIAL GAMES

被引:35
作者
Swenson, Brian [1 ]
Murray, Ryan [2 ]
Kar, Soummya [1 ]
机构
[1] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA
[2] Penn State Univ, Dept Math, State Coll, PA 16801 USA
关键词
game theory; learning; best-response dynamics; fictitious play; potential games; convergence rate; FICTITIOUS-PLAY; CONVERGENCE;
D O I
10.1137/17M1139461
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper studies the convergence properties of (continuous-time) best-response dynamics from game theory. Despite their fundamental role in game theory, best-response dynamics are poorly understood in many games of interest due to the discontinuous, set-valued nature of the best-response map. The paper focuses on elucidating several important properties of best-response dynamics in the class of multiagent games known as potential games-a class of games with fundamental importance in multiagent systems and distributed control. It is shown that in almost every potential game and for almost every initial condition, the best-response dynamics (i) have a unique solution, (ii) converge to pure-strategy Nash equilibria, and (iii) converge at an exponential rate.
引用
收藏
页码:2734 / 2767
页数:34
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