Concepedia

Model-free Reinforcement Learning

Model-Free Reinforcement Learning is a reinforcement learning paradigm that learns optimal policies or value functions directly from interaction with the environment without constructing or relying on an explicit model of the environmental dynamics.

726

Publications

49.2K

Citations

2.3K

Authors

622

Institutions

Publications per year

2017–2026

573

Variants

Model-free Rl

Parents

Publications

726

Model-Based Influences on Humans' Choices and Striatal Prediction Errors

Nathaniel D. Daw, Samuel J. Gershman, Ben Seymour et al. · Neuron · 2011 · 1.9K citations · Full text

, , +17

Dueling Network Architectures for Deep Reinforcement Learning

Ziyu Wang, Tom Schaul, Matteo Hessel et al. · arXiv (Cornell University) · 2015 · 1.8K citations · Full text

, , +16

States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning

Jan Gläscher, Nathaniel D. Daw, Peter Dayan et al. · Neuron · 2010 · 1.2K citations · Full text

, , +12

Neural Computations Underlying Arbitration between Model-Based and Model-free Learning

Sang Wan Lee, Shinsuke Shimojo, John P. O’Doherty · Neuron · 2014 · 677 citations · Full text

, , +14

Model-free Q-learning designs for linear discrete-time zero-sum games with application to H-infinity control

Asma Al-Tamimi, Frank L. Lewis, Murad Abu-Khalaf · Automatica · 2007 · 601 citations

, , +15

1–5 of 726

Authors

2.3K

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    23 publications · 2.3K citations

    19

    h-index

  2. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    14 publications · 1.6K citations

    13

    h-index

  3. FL
    Frank L. Lewis

    The University of Texas at Arlington, United States

    11 publications · 1.4K citations

    11

    h-index

  4. CF
    Chelsea Finn

    University of California, Berkeley, United States

    10 publications · 962 citations

    10

    h-index

  5. ND
    Nathaniel D. Daw

    Princeton University, United States

    10 publications · 4.5K citations

    10

    h-index

1–5 of 2.3K

Institutions

622

  1. New York University

    New York, United States

    20 h-index

    35 publications

    6.6K citations

  2. Tsinghua University

    Beijing, China

    20 h-index

    72 publications

    3K citations

  3. University of California, Berkeley

    Berkeley, United States

    20 h-index

    76 publications

    7.6K citations

  4. Princeton University

    Princeton, United States

    18 h-index

    28 publications

    5.4K citations

  5. Google (United States)

    Mountain View, United States

    17 h-index

    97 publications

    6.6K citations

  6. University of Alberta

    Edmonton, Canada

    15 h-index

    38 publications

    2.9K citations

  7. University of Southern California

    Los Angeles, United States

    14 h-index

    53 publications

    2K citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    14 h-index

    50 publications

    3K citations

1–8 of 622

Venues

  1. arXiv (Cornell University)

    Repository · 130 publications · 9.4K citations

    44

    h-index

  2. IEEE Transactions on Smart Grid

    15 publications · 2.7K citations

    15

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 16 publications · 865 citations

    14

    h-index

  4. IEEE Internet of Things Journal

    14 publications · 804 citations

    14

    h-index

  5. IEEE Robotics and Automation Letters

    13 publications · 554 citations

    13

    h-index

1–5