Concepedia

Approximate Value Functions

Approximate Value Functions is a computational method in reinforcement learning that belongs to the class of value function estimation techniques, distinguished by its use of parametric function approximators to estimate the expected return of states or actions when exact computation is intractable.

281

Publications

30.6K

Citations

571

Authors

259

Institutions

Publications per year

2017–2026

75

Parents

Publications

281

Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt, Arthur Guez, David Silver · 2016 · 6K citations · Full text

, , +11

Policy Gradient Methods for Reinforcement Learning with Function Approximation

Richard S. Sutton, David McAllester, Satinder Singh et al. · 1999 · 5K citations

, , +13

Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt, Arthur Guez, David Silver · Proceedings of the AAAI Conference on Artificial Intelligence · 2016 · 3.5K citations · Full text

, , +11

A Natural Policy Gradient

Sham M. Kakade · ScholarlyCommons (University of Pennsylvania) · 2001 · 733 citations · Full text

, , +16

Regression methods for pricing complex American-style options

John N. Tsitsiklis, Benjamin Van Roy · IEEE Transactions on Neural Networks · 2001 · 643 citations

, , +17

1–5 of 281

Authors

571

  1. RM
    Rémi Munos

    Google (United States), United States

    7 publications · 650 citations

    7

    h-index

  2. RP
    Ronald Parr

    Duke University, United States

    6 publications · 820 citations

    6

    h-index

  3. CB
    Craig Boutilier

    University of Toronto, Canada

    6 publications · 285 citations

    6

    h-index

  4. SM
    Sridhar Mahadevan

    University of Massachusetts Amherst, United States

    6 publications · 268 citations

    6

    h-index

  5. DP
    Doina Precup

    McGill University, Canada

    5 publications · 290 citations

    5

    h-index

1–5 of 571

Institutions

259

  1. Stanford University

    Stanford, United States

    12 h-index

    27 publications

    3.1K citations

  2. Princeton University

    Princeton, United States

    10 h-index

    15 publications

    1.2K citations

  3. University of Massachusetts Amherst

    Amherst Center, United States

    10 h-index

    14 publications

    725 citations

  4. Duke University

    Durham, United States

    9 h-index

    16 publications

    1.3K citations

  5. University of Alberta

    Edmonton, Canada

    8 h-index

    18 publications

    712 citations

  6. McGill University

    Montreal, Canada

    7 h-index

    14 publications

    814 citations

  7. Carnegie Mellon University

    Pittsburgh, United States

    7 h-index

    11 publications

    498 citations

  8. The University of Texas at Austin

    Austin, United States

    7 h-index

    11 publications

    340 citations

1–8 of 259

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 1.4K citations

    17

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 3.6K citations

    6

    h-index

  3. PolyPublie (École Polytechnique de Montréal)

    Repository · 5 publications · 201 citations

    5

    h-index

  4. 5

    h-index

  5. International Conference on Machine Learning

    Conference · 4 publications · 175 citations

    4

    h-index

1–5