Dynamic Programming Existence Results

Dynamic Programming Existence Results is a theoretical framework within the domain of mathematical optimization that establishes sufficient conditions for the existence of optimal policies in sequential decision-making problems by leveraging the principle of optimality and recursive structure inherent in dynamic programming formulations.

190

Publications

18.5K

Citations

248

Authors

158

Institutions

Publications per year

2017–2026

6

Authors

248

  1. RB
    Richard Bellman

    RAND Corporation, United States

    14 publications · 2.1K citations

    13

    h-index

  2. SI
    Seiichi Iwamoto

    Kyushu University, Japan

    6 publications · 145 citations

    6

    h-index

  3. SM
    Shin Min Kang

    Gyeongsang National University, South Korea

    6 publications · 134 citations

    6

    h-index

  4. RA
    Ronald A. Howard

    Stanford University, United States

    4 publications · 4.5K citations

    4

    h-index

  5. EL
    Evan L. Porteus

    Stanford University, United States

    4 publications · 277 citations

    4

    h-index

1–5 of 248

Venues

  1. 18

    h-index

  2. SIAM Journal on Control and Optimization

    12 publications · 556 citations

    12

    h-index

  3. Journal of Optimization Theory and Applications

    10 publications · 408 citations

    10

    h-index

  4. Mathematics of Operations Research

    8 publications · 544 citations

    8

    h-index

  5. Economic Theory

    5 publications · 185 citations

    5

    h-index

1–5