Behavioral Cloning

Behavioral Cloning is a supervised learning method in imitation learning where a policy is trained to map states to actions by mimicking expert demonstrations, distinguishing it from other policy learning approaches through its reliance on direct state-action pair regression without interaction or exploration.

103

Publications

6.2K

Citations

364

Authors

118

Institutions

Publications per year

2017–2026

85

Authors

364

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    5 publications · 294 citations

    5

    h-index

  2. CS
    Claude Sammut

    UNSW Sydney, Australia

    4 publications · 125 citations

    4

    h-index

  3. DB
    Dhruv Batra

    Georgia Institute of Technology, United States

    3 publications · 197 citations

    3

    h-index

  4. LO
    Long Ouyang

    OpenAI (United States), United States

    3 publications · 148 citations

    3

    h-index

  5. EW
    Erik Wijmans

    Georgia Institute of Technology, United States

    3 publications · 197 citations

    3

    h-index

1–5 of 364

Venues

  1. arXiv (Cornell University)

    Repository · 32 publications · 1.6K citations

    23

    h-index

  2. 4

    h-index

  3. IEEE Robotics and Automation Letters

    3 publications · 175 citations

    3

    h-index

  4. The International Journal of Robotics Research

    IJRR · 2 publications · 77 citations

    2

    h-index

  5. Neural Information Processing Systems

    Conference · 2 publications · 42 citations

    2

    h-index

1–5