Weighted Potential Games

Weighted Potential Games is a subclass of potential games in which the incentives of each player to deviate from a given strategy profile are proportional to individual weights, ensuring that the weighted sum of individual payoff differences equals the corresponding change in a global potential function.

27

Publications

1.9K

Citations

68

Authors

46

Institutions

Publications per year

2017–2026

14

Authors

68

  1. RG
    Ragavendran Gopalakrishnan

    California Institute of Technology, United States

    3 publications · 103 citations

    3

    h-index

  2. JR
    Jason R. Marden

    University of Colorado Boulder, United States

    3 publications · 103 citations

    3

    h-index

  3. DC
    Daizhan Cheng

    Chinese Academy of Sciences, China

    3 publications · 82 citations

    3

    h-index

  4. AW
    Adam Wierman

    California Institute of Technology, United States

    3 publications · 103 citations

    3

    h-index

  5. XH
    Xi Huang

    ShanghaiTech University, China

    2 publications · 27 citations

    2

    h-index

1–5 of 68

Venues

  1. Mathematics of Operations Research

    2 publications · 88 citations

    2

    h-index

  2. Discrete Applied Mathematics

    1 publications · 33 citations

    1

    h-index

  3. ACM Transactions on Economics and Computation

    TEAC · 1 publications · 27 citations

    1

    h-index

  4. International Game Theory Review

    1 publications · 10 citations

    1

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 53 citations

    1

    h-index

1–5