Concepedia

Information-gain Maximization

Information-Gain Maximization is a decision-theoretic strategy in active perception and multi-robot exploration that selects actions or sensor placements to maximize the expected reduction in uncertainty about the environment, distinguishing itself from other exploration policies by quantifying utility in terms of information accrued per action.

740

Publications

57.1K

Citations

2K

Authors

776

Institutions

Publications per year

2017–2026

257

Parents

Publications

740

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Guolin Ke, Qi Meng, Thomas Finley et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2017 · 9.5K citations · Full text

, , +16

Query by committee

H. Sebastian Seung, Manfred Opper, Haim Sompolinsky · 1992 · 1.7K citations · Full text

, , +12

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Niranjan Srinivas, Andreas Krause, Sham M. Kakade et al. · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2009 · 1.1K citations · Full text

, , +16

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Niranjan Srinivas, Andreas Krause, Sham M. Kakade et al. · IEEE Transactions on Information Theory · 2012 · 964 citations · Full text

, , +15

Fast Edge Detection Using Structured Forests

Piotr Dollár, C. Lawrence Zitnick · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2014 · 964 citations

, , +12

1–5 of 740

Authors

2K

  1. AK
    Andreas Krause

    ETH Zurich, Switzerland

    7 publications · 2.2K citations

    7

    h-index

  2. RK
    Ryotaro Kamimura

    Tokai University, Japan

    6 publications · 204 citations

    6

    h-index

  3. MQ
    Max Q.‐H. Meng

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 170 citations

    4

    h-index

  4. CW
    Chaoqun Wang

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 170 citations

    4

    h-index

  5. GD
    Gamini Dissanayake

    University of Technology Sydney, Australia

    4 publications · 165 citations

    4

    h-index

1–5 of 2K

Institutions

776

  1. Massachusetts Institute of Technology

    Cambridge, United States

    14 h-index

    33 publications

    1.5K citations

  2. ETH Zurich

    Zurich, Switzerland

    14 h-index

    45 publications

    5.3K citations

  3. Microsoft (United States)

    Redmond, United States

    11 h-index

    23 publications

    4.4K citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    11 h-index

    33 publications

    3.1K citations

  5. Stanford University

    Stanford, United States

    11 h-index

    27 publications

    1.4K citations

  6. The University of Texas at Austin

    Austin, United States

    10 h-index

    19 publications

    903 citations

  7. California Institute of Technology

    Pasadena, United States

    10 h-index

    24 publications

    3.7K citations

  8. University of California, Berkeley

    Berkeley, United States

    10 h-index

    27 publications

    1.8K citations

1–8 of 776

Venues

  1. arXiv (Cornell University)

    Repository · 40 publications · 1.6K citations

    20

    h-index

  2. IEEE Robotics and Automation Letters

    14 publications · 1.2K citations

    14

    h-index

  3. 7

    h-index

  4. IEEE Access

    6 publications · 196 citations

    6

    h-index

  5. 6

    h-index

1–5