Expected Cost Minimization

Expected Cost Minimization is a stochastic optimization framework within sequential decision-making problems that specifically seeks policies minimizing the expected cumulative cost from a starting state to a goal state under uncertain transition dynamics.

641

Publications

35.5K

Citations

1.3K

Authors

590

Institutions

Publications per year

2017–2026

113

Authors

1.3K

  1. TN
    Toshio Nakagawa

    Aichi Institute of Technology, Japan

    27 publications · 1.2K citations

    20

    h-index

  2. SS
    Shey‐Huei Sheu

    National Taiwan University of Science and Technology, Taiwan

    10 publications · 389 citations

    10

    h-index

  3. SO
    Shunji Osaki

    Hiroshima University, Japan

    8 publications · 203 citations

    8

    h-index

  4. QQ
    Qingan Qiu

    Beijing Institute of Technology, China

    6 publications · 368 citations

    6

    h-index

  5. NK
    Naoto Kaio

    Hiroshima University, Japan

    6 publications · 130 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Management Science

    24 publications · 1.6K citations

    19

    h-index

  2. IEEE Transactions on Reliability

    22 publications · 1.2K citations

    17

    h-index

  3. IEEE Transactions on Power Systems

    16 publications · 2.1K citations

    16

    h-index

  4. Operations Research

    15 publications · 1K citations

    14

    h-index

  5. IEEE Transactions on Automatic Control

    16 publications · 832 citations

    14

    h-index

1–5