Action Value Representation

Action Value Representation is a computational construct in decision-making circuits that encodes the expected utility of a specific action within a given context, differentiating it from other decision variables by representing the prospective value associated with selecting that action rather than its execution cost, state value, or outcome probability.

84

Publications

6.9K

Citations

259

Authors

132

Institutions

Publications per year

2017–2026

37

Variants

Action-value Encoding

Authors

259

  1. DL
    Daeyeol Lee

    Yale University, United States

    4 publications · 509 citations

    4

    h-index

  2. MW
    Min Whan Jung

    Ajou University, South Korea

    4 publications · 369 citations

    4

    h-index

  3. MI
    Makoto Ito

    Okinawa Institute of Science and Technology Graduate University, Japan

    3 publications · 460 citations

    3

    h-index

  4. HK
    Hoseok Kim

    Karolinska Institutet, Sweden

    3 publications · 349 citations

    3

    h-index

  5. MA
    Minoru Asada

    The University of Osaka, Japan

    3 publications · 152 citations

    3

    h-index

1–5 of 259

Venues

  1. Journal of Neuroscience

    8 publications · 1.2K citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 223 citations

    7

    h-index

  3. Neuron

    4 publications · 778 citations

    4

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 565 citations

    4

    h-index

  5. eLife

    3 publications · 299 citations

    3

    h-index

1–5