Information-directed Sampling

Information-Directed Sampling is a sequential decision-making strategy within the exploration-exploitation tradeoff that selects actions by minimizing the ratio of expected regret to expected information gain, thereby prioritizing actions that optimally balance reward optimization with information acquisition.

29

Publications

944

Citations

86

Authors

53

Institutions

Publications per year

2017–2026

20

Authors

86

  1. JK
    Johannes Kirschner

    ETH Zurich, Switzerland

    4 publications · 116 citations

    4

    h-index

  2. AK
    Andreas Krause

    ETH Zurich, Switzerland

    3 publications · 106 citations

    3

    h-index

  3. FL
    Fang Liu

    University of Notre Dame, United States

    2 publications · 38 citations

    2

    h-index

  4. DM
    Douglas Markant

    University of North Carolina at Charlotte, United States

    2 publications · 56 citations

    2

    h-index

  5. SB
    Swapna Buccapatnam

    Princeton University, United States

    2 publications · 38 citations

    2

    h-index

1–5 of 86

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 124 citations

    5

    h-index

  2. eScholarship (California Digital Library)

    Repository · 2 publications · 56 citations

    2

    h-index

  3. UCL Discovery (University College London)

    Repository · 1 publications · 31 citations

    1

    h-index

  4. Developmental Psychology

    1 publications · 16 citations

    1

    h-index

  5. Human Communication Research

    1 publications · 17 citations

    1

    h-index

1–5