Information-theoretic Exploration

Information-Theoretic Exploration is a methodological framework within autonomous exploration that selects actions to maximize the gain of information about the environment, as quantified by information-theoretic measures such as entropy reduction or mutual information.

259

Publications

13.4K

Citations

762

Authors

373

Institutions

Publications per year

2017–2026

94

Authors

762

  1. SL
    Shubin Liu

    University of North Carolina at Chapel Hill, United States

    15 publications · 433 citations

    14

    h-index

  2. CR
    Chunying Rong

    Hunan Normal University, China

    13 publications · 406 citations

    13

    h-index

  3. DY
    Donghai Yu

    Hunan Normal University, China

    8 publications · 225 citations

    8

    h-index

  4. DZ
    Dongbo Zhao

    University of North Carolina at Chapel Hill, United States

    7 publications · 199 citations

    7

    h-index

  5. TL
    Tian Lu

    University of North Carolina at Chapel Hill, United States

    6 publications · 242 citations

    6

    h-index

1–5 of 762

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 273 citations

    11

    h-index

  2. Theoretical Chemistry Accounts

    5 publications · 164 citations

    5

    h-index

  3. Chemical Physics Letters

    4 publications · 74 citations

    4

    h-index

  4. PLoS ONE

    3 publications · 764 citations

    3

    h-index

  5. IEEE Wireless Communications

    3 publications · 759 citations

    3

    h-index

1–5