Point-based Value Iteration

Point-Based Value Iteration is a method for solving Partially Observable Markov Decision Processes that approximates the value function by iteratively updating value vectors at a selected subset of belief points, thereby reducing computational complexity while preserving solution accuracy.

40

Publications

4.3K

Citations

83

Authors

45

Institutions

Publications per year

2017–2026

9

Authors

83

  1. PP
    Pascal Poupart

    University of Waterloo, Canada

    7 publications · 739 citations

    7

    h-index

  2. NV
    Nikos Vlassis

    University of Amsterdam, Netherlands

    4 publications · 640 citations

    4

    h-index

  3. MT
    Matthijs T. J. Spaan

    Delft University of Technology, Netherlands

    4 publications · 416 citations

    4

    h-index

  4. JP
    Joëlle Pineau

    McGill University, Canada

    3 publications · 1.7K citations

    3

    h-index

  5. GS
    Guy Shani

    Ben-Gurion University of the Negev, Israel

    3 publications · 534 citations

    3

    h-index

1–5 of 83

Venues

  1. Journal of Artificial Intelligence Research

    JAIR · 3 publications · 717 citations

    3

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 84 citations

    2

    h-index

  3. UvA-DARE (University of Amsterdam)

    Repository · 2 publications · 544 citations

    2

    h-index

  4. IEEE Transactions on Vehicular Technology

    2 publications · 54 citations

    2

    h-index

  5. IEEE Sensors Journal

    1 publications · 23 citations

    1

    h-index

1–5