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
相关论文
共 50 条
  • [11] Self-Triggered Best-Response Dynamics for Continuous Games
    Cortes, Andres
    Martinez, Sonia
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (04) : 1115 - 1120
  • [12] Pure Nash Equilibria and Best-Response Dynamics in Random Games
    Amiet, Ben
    Collevecchio, Andrea
    Scarsini, Marco
    Zhong, Ziwen
    MATHEMATICS OF OPERATIONS RESEARCH, 2021, 46 (04) : 1552 - 1572
  • [13] The Speed of Convergence in Congestion Games under Best-Response Dynamics
    Fanelli, Angelo
    Flammini, Michele
    Moscardelli, Luca
    ACM TRANSACTIONS ON ALGORITHMS, 2012, 8 (03)
  • [14] Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points
    Swenson, Brian
    Murray, Ryan
    Kar, Soummya
    Poor, H. Vincent
    2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2018, : 310 - 315
  • [15] Network Learning from Best-Response Dynamics in LQ Games
    Chen, Yijun
    Ding, Kemi
    Shi, Guodong
    2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 1680 - 1685
  • [16] Convergence of best-response dynamics in games with conflicting congestion effects
    Feldman, Michal
    Tamir, Tami
    INFORMATION PROCESSING LETTERS, 2015, 115 (02) : 112 - 118
  • [17] The speed of convergence in congestion games under best-response dynamics
    Fanelli, Angelo
    Flammini, Michele
    Moscardelli, Luca
    AUTOMATA, LANGUAGES AND PROGRAMMING, PT 1, PROCEEDINGS, 2008, 5125 : 796 - 807
  • [18] Network Learning in Quadratic Games From Best-Response Dynamics
    Ding, Kemi
    Chen, Yijun
    Wang, Lei
    Ren, Xiaoqiang
    Shi, Guodong
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 32 (05) : 3669 - 3684
  • [19] Convergence of best-response dynamics in extensive-form games
    Xu, Zibo
    JOURNAL OF ECONOMIC THEORY, 2016, 162 : 21 - 54
  • [20] BEST-RESPONSE DYNAMICS IN A BIRTH-DEATH MODEL OF EVOLUTION IN GAMES
    Alos-Ferrer, Carlos
    Neustadt, Ilja
    INTERNATIONAL GAME THEORY REVIEW, 2010, 12 (02) : 197 - 204