Saddle Point Equilibrium

Saddle Point Equilibrium is a solution concept in zero-sum games where a pair of strategies constitutes a Nash equilibrium such that no player can unilaterally deviate to achieve a better payoff, characterized by the condition that the equilibrium outcome is simultaneously a minimum with respect to one player's strategy and a maximum with respect to the other's.

152

Publications

8.1K

Citations

287

Authors

179

Institutions

Publications per year

2017–2026

32

Variants

Minimax Equilibrium

Authors

287

  1. TB
    Tamer Başar

    University of Illinois Urbana-Champaign, United States

    7 publications · 382 citations

    7

    h-index

  2. US
    U. Shaked

    Tel Aviv University, Israel

    6 publications · 317 citations

    6

    h-index

  3. CL
    Cédric Langbort

    University of Illinois Urbana-Champaign, United States

    4 publications · 313 citations

    4

    h-index

  4. AK
    Ali Khanafer

    University of Illinois Urbana-Champaign, United States

    4 publications · 57 citations

    4

    h-index

  5. SB
    Sourabh Bhattacharya

    University of Illinois Urbana-Champaign, United States

    3 publications · 46 citations

    3

    h-index

1–5 of 287

Venues

  1. Journal of Optimization Theory and Applications

    10 publications · 193 citations

    10

    h-index

  2. IEEE Transactions on Automatic Control

    9 publications · 350 citations

    9

    h-index

  3. Nonlinearity

    4 publications · 149 citations

    4

    h-index

  4. SSRN Electronic Journal

    Repository · 4 publications · 76 citations

    4

    h-index

  5. Journal of Differential Equations

    4 publications · 142 citations

    4

    h-index

1–5