Demonstration Learning

Demonstration Learning is a method within the domain of Manipulation Learning and Observational Learning that acquires skilled behaviors through direct observation of expert-provided examples, distinguished by its reliance on action-labeled demonstrations to guide policy acquisition without explicit reinforcement signals.

175

Publications

9.2K

Citations

537

Authors

212

Institutions

Publications per year

2017–2026

80

Variants

Learning From Demonstration

Authors

537

  1. AB
    Aude Billard

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 901 citations

    7

    h-index

  2. MV
    Manuela Veloso

    Carnegie Mellon University, United States

    5 publications · 367 citations

    5

    h-index

  3. SC
    Sonia Chernova

    Georgia Institute of Technology, United States

    5 publications · 1.1K citations

    5

    h-index

  4. JK
    Johannes König

    University of Cologne, Germany

    4 publications · 281 citations

    4

    h-index

  5. AL
    Andrea L. Thomaz

    Georgia Institute of Technology, United States

    4 publications · 583 citations

    4

    h-index

1–5 of 537

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 580 citations

    12

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 130 citations

    4

    h-index

  3. Autonomous Robots

    3 publications · 74 citations

    3

    h-index

  4. 2

    h-index

  5. The International Journal of Robotics Research

    IJRR · 2 publications · 241 citations

    2

    h-index

1–5