Concepedia

Reinforcement Learning Theory

Reinforcement Learning Theory is a formal framework within machine learning that specifies how an agent learns optimal decision-making policies through interaction with an environment by maximizing cumulative reward signals.

3.1K

Publications

292.5K

Citations

7.6K

Authors

1.8K

Institutions

Publications per year

2017–2026

1.6K

Parents

Publications

3.1K

Reinforcement Learning: An Introduction

Richard S. Sutton, Andy Barto · IEEE Transactions on Neural Networks · 1998 · 27.1K citations

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Reinforcement Learning: An Introduction

IEEE Transactions on Neural Networks · 2005 · 25.8K citations

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Reinforcement Learning: A Survey

Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore · Journal of Artificial Intelligence Research · 1996 · 8.8K citations · Full text

, , +15

Reinforcement Learning: An Introduction

Jeffrey D. Johnson, Jinghong Li, Zengshi Chen · Neurocomputing · 2000 · 8.7K citations

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Simple statistical gradient-following algorithms for connectionist reinforcement learning

Ronald J. Williams · Machine Learning · 1992 · 7.5K citations · Full text

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1–5 of 3.1K

Authors

7.6K

  1. ML
    Michael L. Littman

    Rutgers, The State University of New Jersey, United States

    40 publications · 13.3K citations

    30

    h-index

  2. RS
    Richard S. Sutton

    University of Alberta, Canada

    31 publications · 35.1K citations

    24

    h-index

  3. AG
    Andrew G. Barto

    University of Massachusetts Amherst, United States

    24 publications · 3.6K citations

    21

    h-index

  4. DP
    Doina Precup

    McGill University, Canada

    27 publications · 5.6K citations

    20

    h-index

  5. SS
    Satinder Singh

    University of Michigan, United States

    21 publications · 5.6K citations

    18

    h-index

1–5 of 7.6K

Institutions

1.8K

  1. University of California, Berkeley

    Berkeley, United States

    31 h-index

    118 publications

    11.5K citations

  2. Stanford University

    Stanford, United States

    31 h-index

    86 publications

    13K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    30 h-index

    88 publications

    18.9K citations

  4. Tsinghua University

    Beijing, China

    29 h-index

    131 publications

    6.1K citations

  5. University of Massachusetts Amherst

    Amherst Center, United States

    29 h-index

    81 publications

    10K citations

  6. University College London

    London, United Kingdom

    28 h-index

    102 publications

    9.3K citations

  7. University of Alberta

    Edmonton, Canada

    27 h-index

    95 publications

    4.6K citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    27 h-index

    91 publications

    8.8K citations

1–8 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 309 publications · 18.1K citations

    61

    h-index

  2. 26

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 53 publications · 2.7K citations

    25

    h-index

  4. Machine Learning

    32 publications · 12.2K citations

    24

    h-index

  5. Expert Systems with Applications

    27 publications · 2K citations

    23

    h-index

1–5