Emergent Communication

Emergent Communication is a computational learning framework in which decentralized agents autonomously develop signaling systems through interaction, distinguished from explicit programming by its reliance on reinforcement or self-supervised mechanisms to evolve adaptive, shared protocols for coordinated task performance.

120

Publications

22.8K

Citations

335

Authors

176

Institutions

Publications per year

2017–2026

47

Authors

335

  1. AL
    Angeliki Lazaridou

    University of Trento, Italy

    6 publications · 435 citations

    6

    h-index

  2. JZ
    Joel Z. Leibo

    Google DeepMind (United Kingdom), United Kingdom

    3 publications · 341 citations

    3

    h-index

  3. DK
    Douwe Kiela

    Meta (Israel), Israel

    3 publications · 71 citations

    3

    h-index

  4. MB
    Marco Baroni

    University of Trento, Italy

    3 publications · 172 citations

    3

    h-index

  5. SN
    Stefano Nolfi

    Institute of Cognitive Sciences and Technologies, Italy

    3 publications · 79 citations

    3

    h-index

1–5 of 335

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 930 citations

    15

    h-index

  2. Adaptive Behavior

    3 publications · 223 citations

    3

    h-index

  3. Journal of The Royal Society Interface

    2 publications · 72 citations

    2

    h-index

  4. Advanced Robotics

    2 publications · 41 citations

    2

    h-index

  5. Connection Science

    2 publications · 83 citations

    2

    h-index

1–5