Concepedia

Batch Policy Learning

Batch Policy Learning is a category of reinforcement learning methods in which a policy is optimized using a fixed dataset collected from previously executed policies, without active environmental interaction during the learning process.

67

Publications

3.9K

Citations

216

Authors

85

Institutions

Publications per year

2017–2026

40

Parents

Publications

67

Tree-Based Batch Mode Reinforcement Learning

Damien Ernst, Pierre Geurts, Louis Wehenkel · 2005 · 866 citations · Full text

, , +10

Deep auto-encoder neural networks in reinforcement learning

Sascha Lange, Martin Riedmiller · 2010 · 335 citations

, , +15

Batch learning from logged bandit feedback through counterfactual risk minimization

Adith Swaminathan, Thorsten Joachims · Journal of Machine Learning Research · 2015 · 189 citations

, , +16

Reinforcement Learning-Based Plug-in Electric Vehicle Charging with Forecasted Price

Adriana Chis, Jarmo Lundén, Visa Koivunen · IEEE Transactions on Vehicular Technology · 2016 · 182 citations

, , +16

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

Sébastien Forestier, Yoan Mollard, Pierre‐Yves Oudeyer · arXiv (Cornell University) · 2017 · 175 citations · Full text

, , +17

1–5 of 67

Authors

216

  1. MR
    Martin Riedmiller

    University of Freiburg, Germany

    4 publications · 460 citations

    4

    h-index

  2. CS
    Csaba Szepesvári

    University of Alberta, Canada

    3 publications · 190 citations

    3

    h-index

  3. AS
    Adith Swaminathan

    Cornell University, United States

    3 publications · 352 citations

    3

    h-index

  4. AA
    András Antos

    Hungarian Academy of Sciences, Hungary

    2 publications · 179 citations

    2

    h-index

  5. CF
    Changjie Fan

    NetEase (China), China

    2 publications · 28 citations

    2

    h-index

1–5 of 216

Institutions

85

  1. University of Alberta

    Edmonton, Canada

    4 h-index

    5 publications

    213 citations

  2. Duke University

    Durham, United States

    3 h-index

    6 publications

    338 citations

  3. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    3 h-index

    5 publications

    116 citations

  4. University of California San Diego

    San Diego, United States

    3 h-index

    6 publications

    124 citations

  5. KU Leuven

    Leuven, Belgium

    3 h-index

    8 publications

    351 citations

  6. University of Freiburg

    Freiburg im Breisgau, Germany

    3 h-index

    4 publications

    747 citations

  7. Cornell University

    Ithaca, United States

    3 h-index

    6 publications

    674 citations

  8. Google (United States)

    Mountain View, United States

    3 h-index

    9 publications

    445 citations

1–8 of 85

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 798 citations

    15

    h-index

  2. Journal of Machine Learning Research

    JMLR · 3 publications · 276 citations

    3

    h-index

  3. International Conference on Artificial Intelligence and Statistics

    Conference · 2 publications · 31 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 30 citations

    2

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 149 citations

    1

    h-index

1–5