Deterministic Policy Search

Deterministic Policy Search is a method in Infinite-Horizon Markov Decision Processes that systematically identifies a stationary policy mapping states to actions without randomization, distinguished by its exclusive focus on deterministic decision rules to maximize long-term expected reward.

31

Publications

1.5K

Citations

97

Authors

44

Institutions

Publications per year

2017–2026

21

Authors

97

  1. TL
    Tongyang Li

    Beihang University, China

    2 publications · 86 citations

    2

    h-index

  2. KZ
    Kaixuan Zhang

    Beijing University of Technology, China

    2 publications · 86 citations

    2

    h-index

  3. JR
    Jiageng Ruan

    University of Technology Sydney, Australia

    2 publications · 86 citations

    2

    h-index

  4. CW
    Changcheng Wu

    Southeast University, China

    2 publications · 86 citations

    2

    h-index

  5. BS
    Bei Sun

    Central South University, China

    1 publications · 44 citations

    1

    h-index

1–5 of 97

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 546 citations

    3

    h-index

  2. Ocean Engineering

    2 publications · 61 citations

    2

    h-index

  3. Applied Energy

    2 publications · 164 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 31 citations

    2

    h-index

  5. 1

    h-index

1–5