Partial Policy Evaluation

Partial Policy Evaluation is a methodological component within dynamic programming and reinforcement learning that, unlike full policy evaluation, conducts an incomplete assessment of a policy's value function by performing a limited number of iterative updates toward its fixed point, thereby approximating value estimates sufficient to inform subsequent policy improvement steps.

4

Publications

199

Citations

5

Authors

1

Institutions

Publications per year

2017–2026

0

Authors

5

  1. PD
    Philippa Dee

    Australian National University, Australia

    2 publications · 61 citations

    2

    h-index

  2. RK
    Richard K. Perrin

    University of Nebraska–Lincoln, United States

    1 publications · 39 citations

    1

    h-index

  3. KK
    K.A. Kunnings

    1 publications · 39 citations

    1

    h-index

  4. JD
    John D. Landis

    University of Pennsylvania, United States

    1 publications · 99 citations

    1

    h-index

  5. LA
    Loren A. Ihnen

    1 publications · 39 citations

    1

    h-index

1–5 of 5

Institutions

1

  1. Australian National University

    Canberra, Australia

    2 h-index

    2 publications

    61 citations

1–1 of 1

Venues

  1. Journal of the American Planning Association

    JAPA · 1 publications · 99 citations

    1

    h-index

  2. World Economy

    1 publications · 47 citations

    1

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 1 publications · 14 citations

    1

    h-index

  4. AgEcon Search (University of Minnesota, USA)

    Repository · 1 publications · 39 citations

    1

    h-index

1–4