Game Value Computation

Game Value Computation is a formal method within game theory that determines the minimax value of a zero-sum game by solving for the optimal expected payoff under mutual rationality, distinguishing it from general solution concepts by specifically quantifying the equilibrium outcome in strictly competitive interactions.

35

Publications

1.9K

Citations

61

Authors

37

Institutions

Publications per year

2017–2026

9

Authors

61

  1. GO
    Guillermo Owen

    Naval Postgraduate School, United States

    3 publications · 748 citations

    3

    h-index

  2. ŞY
    Şevin Yeltekin

    Carnegie Mellon University, United States

    2 publications · 30 citations

    2

    h-index

  3. CS
    Christopher Sleet

    Carnegie Mellon University, United States

    2 publications · 30 citations

    2

    h-index

  4. DL
    Deng‐Feng Li

    Fuzhou University, China

    2 publications · 104 citations

    2

    h-index

  5. YY
    Yin-Fang Ye

    Fuzhou University, China

    2 publications · 63 citations

    2

    h-index

1–5 of 61

Venues

  1. Management Science

    3 publications · 450 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 68 citations

    3

    h-index

  3. National Conference on Artificial Intelligence

    Conference · 1 publications · 12 citations

    1

    h-index

  4. Mathematics of Operations Research

    1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5