Markov Games

Markov Games is a stochastic game model in dynamic game theory where the state transitions depend only on the current state and actions of the players, incorporating the Markov property to define strategies and equilibria in multi-agent sequential decision-making under uncertainty.

441

Publications

22.1K

Citations

759

Authors

392

Institutions

Publications per year

2017–2026

93

Authors

759

  1. JB
    Julio B. Clempner

    Instituto Politécnico Nacional, Mexico

    11 publications · 206 citations

    11

    h-index

  2. OJ
    O. J. Vrieze

    Maastricht University, Netherlands

    11 publications · 434 citations

    11

    h-index

  3. XG
    Xianping Guo

    Sun Yat-sen University, China

    9 publications · 243 citations

    9

    h-index

  4. AS
    Andrzej S. Nowak

    University of Zielona Góra, Poland

    9 publications · 171 citations

    9

    h-index

  5. AS
    Alexander S. Poznyak

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    8 publications · 152 citations

    8

    h-index

1–5 of 759

Venues

  1. arXiv (Cornell University)

    Repository · 31 publications · 1.4K citations

    18

    h-index

  2. International Journal of Game Theory

    17 publications · 587 citations

    15

    h-index

  3. Mathematics of Operations Research

    12 publications · 439 citations

    12

    h-index

  4. Journal of Optimization Theory and Applications

    12 publications · 396 citations

    12

    h-index

  5. SSRN Electronic Journal

    Repository · 16 publications · 252 citations

    12

    h-index

1–5