Deterministic Dynamic Programming

Deterministic Dynamic Programming is a dynamic programming paradigm in which the system transitions and outcomes are governed entirely by deterministic rules, such that each state and action pair leads to a unique next state without probabilistic uncertainty.

77

Publications

4.3K

Citations

180

Authors

100

Institutions

Publications per year

2017–2026

10

Authors

180

  1. IK
    Ilya Kolmanovsky

    University of Michigan, United States

    3 publications · 149 citations

    3

    h-index

  2. AV
    Ardalan Vahidi

    Clemson University, United States

    3 publications · 163 citations

    3

    h-index

  3. HW
    Hao Wang

    China Institute of Water Resources and Hydropower Research, China

    2 publications · 152 citations

    2

    h-index

  4. DR
    Dean Rotenberg

    Clemson University, United States

    2 publications · 138 citations

    2

    h-index

  5. HK
    Hosam K. Fathy

    Pennsylvania State University, United States

    2 publications · 134 citations

    2

    h-index

1–5 of 180

Venues

  1. 5

    h-index

  2. Management Science

    3 publications · 193 citations

    3

    h-index

  3. Transportation Science

    3 publications · 183 citations

    3

    h-index

  4. AgEcon Search (University of Minnesota, USA)

    Repository · 2 publications · 32 citations

    2

    h-index

  5. 2

    h-index

1–5