Computational Methods For Equilibrium

Computational Methods for Equilibrium is a systematic approach within game theory that constitutes a formal framework or algorithmic procedure designed to identify or approximate mixed strategy equilibria in strategic interactions through numerical computation and optimization techniques.

228

Publications

15.5K

Citations

423

Authors

237

Institutions

Publications per year

2017–2026

46

Authors

423

  1. TS
    Tüomas Sandholm

    Carnegie Mellon University, United States

    11 publications · 362 citations

    11

    h-index

  2. AR
    Andrew R. Gilpin

    Carnegie Mellon University, United States

    6 publications · 234 citations

    6

    h-index

  3. PJ
    P. Jean‐Jacques Herings

    Maastricht University, Netherlands

    5 publications · 121 citations

    5

    h-index

  4. DV
    Dang Van Hieu

    Ton Duc Thang University, Vietnam

    5 publications · 254 citations

    5

    h-index

  5. RP
    Ronald Peeters

    Maastricht University, Netherlands

    4 publications · 108 citations

    4

    h-index

1–5 of 423

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 86 citations

    7

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 145 citations

    6

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 5 publications · 495 citations

    5

    h-index

  4. Economic Theory

    5 publications · 221 citations

    5

    h-index

  5. SSRN Electronic Journal

    Repository · 4 publications · 65 citations

    4

    h-index

1–5