Fixed-point Characterization

Fixed-Point Characterization is a theoretical framework in dynamic programming and reinforcement learning that identifies the Bellman equations as a contraction mapping whose unique fixed point corresponds to the optimal value function.

539

Publications

24.6K

Citations

968

Authors

615

Institutions

Publications per year

2017–2026

106

Authors

968

  1. EK
    Erdal Karapınar

    Atilim University, Türkiye

    23 publications · 776 citations

    16

    h-index

  2. MD
    Manuel De la Sen

    University of the Basque Country, Spain

    7 publications · 140 citations

    7

    h-index

  3. BS
    Bessem Samet

    King Saud University, Saudi Arabia

    6 publications · 223 citations

    6

    h-index

  4. CV
    Calogero Vetro

    University of Palermo, Italy

    7 publications · 259 citations

    6

    h-index

  5. IB
    Ismat Beg

    Lahore School of Economics, Pakistan

    5 publications · 131 citations

    5

    h-index

1–5 of 968

Venues

  1. Proceedings of the American Mathematical Society

    PROC · 17 publications · 1.3K citations

    13

    h-index

  2. Fixed Point Theory and Applications

    18 publications · 603 citations

    12

    h-index

  3. Journal of Mathematical Physics

    9 publications · 508 citations

    9

    h-index

  4. Mathematics

    10 publications · 273 citations

    9

    h-index

  5. Journal of Inequalities and Applications

    7 publications · 245 citations

    7

    h-index

1–5