Optimality Equations

Optimality Equations is a mathematical framework in stochastic shortest path problems that characterizes the minimal expected cost-to-go from each state by satisfying a set of recursive equations derived from dynamic programming principles, distinguishing it from alternative solution methods by explicitly encoding the necessary and sufficient conditions for policy optimality under uncertainty.

507

Publications

33.4K

Citations

916

Authors

496

Institutions

Publications per year

2017–2026

70

Authors

916

  1. RC
    Rolando Cavazos–Cadena

    Universidad Autónoma Agraria Antonio Narro, Mexico

    11 publications · 262 citations

    10

    h-index

  2. XG
    Xianping Guo

    Sun Yat-sen University, China

    8 publications · 171 citations

    8

    h-index

  3. EF
    E. Fernández-Gaucherand

    University of Arizona, United States

    7 publications · 186 citations

    7

    h-index

  4. SI
    Steven I. Marcus

    University of Maryland, College Park, United States

    6 publications · 138 citations

    6

    h-index

  5. EA
    Eugene A. Feinberg

    Stony Brook University, United States

    5 publications · 237 citations

    5

    h-index

1–5 of 916

Venues

  1. Mathematics of Operations Research

    17 publications · 963 citations

    15

    h-index

  2. SIAM Journal on Control and Optimization

    15 publications · 586 citations

    14

    h-index

  3. IEEE Transactions on Automatic Control

    14 publications · 1.3K citations

    13

    h-index

  4. Journal of Optimization Theory and Applications

    14 publications · 307 citations

    12

    h-index

  5. Mathematical Methods of Operations Research

    10 publications · 216 citations

    10

    h-index

1–5