Concepedia

Deep Reinforcement Learning

Deep Reinforcement Learning is a machine learning paradigm that integrates deep neural networks with reinforcement learning mechanisms, leveraging the representational power of deep learning to approximate value functions, policies, or environment models within sequential decision-making under uncertainty.

10.4K

Publications

681.2K

Citations

24.9K

Authors

3.4K

Institutions

Publications per year

2017–2026

10.2K

Variants

Drl

Parents

Publications

10.4K

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations

, , +8

Continuous control with deep reinforcement learning

Timothy Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al. · arXiv (Cornell University) · 2016 · 6.8K citations · Full text

, , +17

Deep Reinforcement Learning with Double Q-Learning

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

, , +11

Continuous control with deep reinforcement learning

Timothy Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al. · arXiv (Cornell University) · 2015 · 5.4K citations · Full text

, , +17

Playing Atari with Deep Reinforcement Learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · arXiv (Cornell University) · 2013 · 5.1K citations · Full text

, , +16

1–5 of 10.4K

Authors

24.9K

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    78 publications · 17K citations

    44

    h-index

  2. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    68 publications · 14.2K citations

    40

    h-index

  3. FR
    F. Richard Yu

    Carleton University, Canada

    51 publications · 4.3K citations

    37

    h-index

  4. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    56 publications · 6.2K citations

    36

    h-index

  5. ZH
    Zhu Han

    University of Houston, United States

    50 publications · 3.2K citations

    34

    h-index

1–5 of 24.9K

Institutions

3.4K

  1. Tsinghua University

    Beijing, China

    81 h-index

    832 publications

    58.5K citations

  2. Beijing University of Posts and Telecommunications

    Beijing, China

    74 h-index

    873 publications

    54.5K citations

  3. Google (United States)

    Mountain View, United States

    69 h-index

    525 publications

    221.2K citations

  4. University of Electronic Science and Technology of China

    Chengdu, China

    69 h-index

    541 publications

    48.6K citations

  5. Beijing Institute of Technology

    Beijing, China

    66 h-index

    481 publications

    40.7K citations

  6. University of California, Berkeley

    Berkeley, United States

    66 h-index

    460 publications

    44.5K citations

  7. Nanyang Technological University

    Singapore, Singapore

    62 h-index

    489 publications

    36.2K citations

  8. Southeast University

    Nanjing, China

    58 h-index

    382 publications

    26.7K citations

1–8 of 3.4K

Venues

  1. arXiv (Cornell University)

    Repository · 1.1K publications · 115K citations

    139

    h-index

  2. IEEE Internet of Things Journal

    256 publications · 20.4K citations

    79

    h-index

  3. IEEE Access

    328 publications · 18.2K citations

    71

    h-index

  4. IEEE Transactions on Vehicular Technology

    199 publications · 18.9K citations

    71

    h-index

  5. 61

    h-index

1–5