Optimal Policies

Optimal Policies is a solution concept in stochastic games that specifies a set of strategies, one for each player, which maximizes expected long-term payoffs under equilibrium conditions, distinguishing it from alternative policy sets by guaranteeing optimal performance given the strategic interactions and probabilistic state transitions inherent in the game.

3.3K

Publications

205K

Citations

5.8K

Authors

1.7K

Institutions

Publications per year

2017–2026

691

Authors

5.8K

  1. XG
    Xianping Guo

    Sun Yat-sen University, China

    17 publications · 465 citations

    14

    h-index

  2. TB
    Tamer Başar

    University of Illinois Urbana-Champaign, United States

    15 publications · 674 citations

    13

    h-index

  3. TN
    Toshio Nakagawa

    Aichi Institute of Technology, Japan

    14 publications · 906 citations

    13

    h-index

  4. AH
    Arie Hordijk

    Leiden University, Netherlands

    14 publications · 615 citations

    13

    h-index

  5. EA
    Eitan Altman

    Institut national de recherche en sciences et technologies du numérique, France

    11 publications · 601 citations

    11

    h-index

1–5 of 5.8K

Venues

  1. Operations Research

    147 publications · 13.2K citations

    66

    h-index

  2. Management Science

    133 publications · 14K citations

    61

    h-index

  3. SSRN Electronic Journal

    Repository · 114 publications · 4.4K citations

    32

    h-index

  4. IEEE Transactions on Automatic Control

    71 publications · 3.3K citations

    31

    h-index

  5. Mathematics of Operations Research

    57 publications · 3.6K citations

    30

    h-index

1–5