Learning From Exploration

Learning From Exploration is an academic construct that refers to the process through which agents acquire knowledge or refine decision-making strategies by interacting with novel environments and integrating feedback from self-directed actions, distinguishing it from passive observation or exploitation of known information.

219

Publications

36.2K

Citations

610

Authors

304

Institutions

Publications per year

2017–2026

101

Authors

610

  1. MG
    Marc G. Bellemare

    Google (United States), United States

    6 publications · 1.4K citations

    6

    h-index

  2. RM
    Rémi Munos

    Google (United States), United States

    5 publications · 1.3K citations

    5

    h-index

  3. SL
    Sergey Levine

    University of California, Berkeley, United States

    4 publications · 368 citations

    4

    h-index

  4. CB
    Charles Blundell

    Google DeepMind (United Kingdom), United Kingdom

    4 publications · 806 citations

    4

    h-index

  5. GO
    Georg Ostrovski

    Google DeepMind (United Kingdom), United Kingdom

    4 publications · 1.3K citations

    4

    h-index

1–5 of 610

Venues

  1. arXiv (Cornell University)

    Repository · 28 publications · 2.3K citations

    20

    h-index

  2. Scientific Reports

    4 publications · 98 citations

    4

    h-index

  3. Child Development

    3 publications · 101 citations

    3

    h-index

  4. Neurocomputing

    3 publications · 96 citations

    3

    h-index

  5. Nature Communications

    3 publications · 155 citations

    3

    h-index

1–5