Copycat Learning

Copycat Learning is a machine learning paradigm within social learning that enables an agent to acquire knowledge or behavior by directly replicating the observable actions or outputs of a demonstrator model without accessing its internal decision logic or training data.

12

Publications

728

Citations

29

Authors

10

Institutions

Publications per year

2017–2026

5

Variants

Imitation Learning

Authors

29

  1. DR
    Douglas R. Hofstadter

    Indiana University Bloomington, United States

    2 publications · 129 citations

    2

    h-index

  2. JR
    Jacson Rodrigues Correia-Silva

    Universidade Federal do Espírito Santo, Brazil

    2 publications · 171 citations

    2

    h-index

  3. PP
    Peter Presti

    Georgia Institute of Technology, United States

    2 publications · 63 citations

    2

    h-index

  4. HH
    Harley Hamilton

    Georgia Institute of Technology, United States

    2 publications · 63 citations

    2

    h-index

  5. AF
    Alberto F. De Souza

    Universidade Federal do Espírito Santo, Brazil

    2 publications · 171 citations

    2

    h-index

1–5 of 29

Venues

  1. PLoS ONE

    1 publications · 151 citations

    1

    h-index

  2. Movement Ecology

    1 publications · 22 citations

    1

    h-index

  3. Journal of Retailing and Consumer Services

    1 publications · 120 citations

    1

    h-index

  4. 1

    h-index

  5. Pattern Recognition

    1 publications · 17 citations

    1

    h-index

1–5