State-value Function

The State-Value Function is a value function that belongs to the class of value functions in reinforcement learning and is specifically distinguished by mapping each state in the environment to the expected return achievable by following a given policy from that state onward.

619

Publications

40.3K

Citations

1.5K

Authors

559

Institutions

Publications per year

2017–2026

240

Authors

1.5K

  1. DS
    David Silver

    Google DeepMind (United Kingdom), United Kingdom

    11 publications · 6.4K citations

    10

    h-index

  2. DP
    Doina Precup

    McGill University, Canada

    8 publications · 262 citations

    8

    h-index

  3. SL
    Sergey Levine

    University of California, Berkeley, United States

    7 publications · 479 citations

    7

    h-index

  4. RM
    Rémi Munos

    Google (United States), United States

    7 publications · 1.3K citations

    7

    h-index

  5. RP
    Ronald Parr

    Duke University, United States

    7 publications · 654 citations

    7

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 68 publications · 11.1K citations

    30

    h-index

  2. SIAM Journal on Control and Optimization

    31 publications · 1.8K citations

    24

    h-index

  3. 11

    h-index

  4. IEEE Transactions on Automatic Control

    10 publications · 1K citations

    10

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 13 publications · 790 citations

    10

    h-index

1–5