Online Value Iteration

Online Value Iteration is a dynamic programming algorithm that incrementally updates value estimates in real-time using newly observed transitions, distinguishing it from batch or offline variants by its immediate incorporation of experience into the value function without requiring complete environment models or full iterations over the state space.

39

Publications

2.4K

Citations

107

Authors

58

Institutions

Publications per year

2017–2026

23

Authors

107

  1. FL
    Frank L. Lewis

    The University of Texas at Arlington, United States

    5 publications · 575 citations

    5

    h-index

  2. DW
    Ding Wang

    Chinese Academy of Sciences, China

    3 publications · 99 citations

    3

    h-index

  3. YJ
    Yi Jiang

    Northeastern University, China

    3 publications · 317 citations

    3

    h-index

  4. YH
    Yoon Ho Choi

    Yonsei University, South Korea

    2 publications · 24 citations

    2

    h-index

  5. WG
    Weinan Gao

    Northeastern University, China

    2 publications · 261 citations

    2

    h-index

1–5 of 107

Venues

  1. 4

    h-index

  2. IEEE Transactions on Cybernetics

    4 publications · 479 citations

    4

    h-index

  3. Automatica

    2 publications · 338 citations

    2

    h-index

  4. European Journal of Operational Research

    1 publications · 10 citations

    1

    h-index

  5. IEEE Transactions on Vehicular Technology

    1 publications · 72 citations

    1

    h-index

1–5