Concepedia

Stochastic Policy Learning

Stochastic Policy Learning is a methodological framework in policy learning that entails the systematic acquisition of probabilistic decision-making policies through learning algorithms which explicitly account for randomness in action selection to optimize long-term expected outcomes.

60

Publications

7K

Citations

190

Authors

81

Institutions

Publications per year

2017–2026

41

Parents

Publications

60

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Lantao Yu, Weinan Zhang, Jun Wang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2017 · 2.3K citations · Full text

, , +13

Deterministic policy gradient algorithms

David Silver, Guy Lever, Nicolas Heess et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2014 · 1.7K citations · Full text

, , +16

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Lantao Yu, Weinan Zhang, Jun Wang et al. · arXiv (Cornell University) · 2016 · 294 citations · Full text

, , +13

Reinforcement Learning Strategies for Clinical Trials in Nonsmall Cell Lung Cancer

Yufan Zhao, Donglin Zeng, Mark A. Socinski et al. · Biometrics · 2011 · 219 citations

, , +15

Hybrid intra-hour DNI forecasts with sky image processing enhanced by stochastic learning

Yinghao Chu, Hugo T.C. Pedro, Carlos F.M. Coimbra · Solar Energy · 2013 · 182 citations

, , +14

1–5 of 60

Authors

190

  1. JP
    Jan Peters

    Technische Universität Darmstadt, Germany

    3 publications · 129 citations

    3

    h-index

  2. JR
    Jason Rhuggenaath

    Eindhoven University of Technology, Netherlands

    3 publications · 191 citations

    3

    h-index

  3. YZ
    Yingqian Zhang

    Eindhoven University of Technology, Netherlands

    3 publications · 191 citations

    3

    h-index

  4. BS
    Bernhard Schölkopf

    Max Planck Institute for Intelligent Systems, Germany

    3 publications · 129 citations

    3

    h-index

  5. AA
    Alp Akçay

    Eindhoven University of Technology, Netherlands

    3 publications · 191 citations

    3

    h-index

1–5 of 190

Institutions

81

  1. Stanford University

    Stanford, United States

    4 h-index

    10 publications

    320 citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    5 publications

    103 citations

  3. University College London

    London, United Kingdom

    2 h-index

    2 publications

    2.6K citations

  4. The University of Texas at Austin

    Austin, United States

    2 h-index

    3 publications

    87 citations

  5. University of Amsterdam

    Amsterdam, The Netherlands

    2 h-index

    2 publications

    49 citations

  6. University of North Carolina at Chapel Hill

    Chapel Hill, United States

    2 h-index

    7 publications

    701 citations

  7. Max Planck Institute for Intelligent Systems

    Stuttgart, Germany

    2 h-index

    8 publications

    526 citations

  8. Shanghai Jiao Tong University

    Shanghai, China

    2 h-index

    6 publications

    7.8K citations

1–8 of 81

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 906 citations

    12

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 2.4K citations

    3

    h-index

  3. 1

    h-index

  4. The Annals of Statistics

    1 publications · 17 citations

    1

    h-index

  5. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 13 citations

    1

    h-index

1–5