Discrete Control

Discrete Control is a decision-making framework in policy learning where the control actions are selected from a finite set of distinct, non-continuous alternatives, distinguishing it from continuous control paradigms by its reliance on categorical or quantized action spaces.

740

Publications

34.5K

Citations

1.7K

Authors

706

Institutions

Publications per year

2017–2026

137

Authors

1.7K

  1. SL
    Stéphane Lafortune

    University of Michigan, United States

    8 publications · 277 citations

    8

    h-index

  2. KR
    Karen Rudie

    Queen's University, Canada

    6 publications · 374 citations

    6

    h-index

  3. ÉR
    Éric Rutten

    Institut national de recherche en sciences et technologies du numérique, France

    6 publications · 95 citations

    6

    h-index

  4. MS
    Magdi S. Mahmoud

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    5 publications · 110 citations

    5

    h-index

  5. TS
    Toshiharu Sugie

    Kyoto University, Japan

    5 publications · 254 citations

    5

    h-index

1–5 of 1.7K

Venues

  1. IEEE Transactions on Automatic Control

    54 publications · 4K citations

    30

    h-index

  2. Automatica

    31 publications · 2.1K citations

    23

    h-index

  3. International Journal of Control

    28 publications · 824 citations

    16

    h-index

  4. IEEE Transactions on Industrial Electronics

    13 publications · 2.3K citations

    12

    h-index

  5. Systems & Control Letters

    10 publications · 1.3K citations

    10

    h-index

1–5