Value Learning

Value Learning is a theoretical framework within the field of learning systems that specifies how agents acquire, represent, and update internal value functions to align their decision-making with desired objectives or environmental feedback.

89

Publications

3.9K

Citations

245

Authors

124

Institutions

Publications per year

2017–2026

44

Authors

245

  1. KN
    Kate Nussenbaum

    New York University, United States

    3 publications · 120 citations

    3

    h-index

  2. TE
    Timothy E.J. Behrens

    University of Oxford, United Kingdom

    3 publications · 572 citations

    3

    h-index

  3. CA
    Catherine A. Hartley

    New York University, United States

    3 publications · 120 citations

    3

    h-index

  4. RJ
    Raymond J. Dolan

    University College London, United Kingdom

    3 publications · 253 citations

    3

    h-index

  5. AA
    Ali–akbar Agha–mohammadi

    Jet Propulsion Laboratory, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 245

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 199 citations

    6

    h-index

  2. Journal of Neuroscience

    3 publications · 268 citations

    3

    h-index

  3. Cognition

    2 publications · 79 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 39 citations

    2

    h-index

  5. eLife

    2 publications · 95 citations

    2

    h-index

1–5