Decentralized Execution

Decentralized Execution is a control paradigm in multi-robot learning where each robot independently computes its actions based on local observations and policies without centralized coordination, thereby enabling scalable and robust task execution through autonomous decision-making.

213

Publications

10.7K

Citations

746

Authors

327

Institutions

Publications per year

2017–2026

146

Authors

746

  1. SW
    Shimon Whiteson

    University of Oxford, United Kingdom

    9 publications · 1.8K citations

    9

    h-index

  2. CA
    Christopher Amato

    Massachusetts Institute of Technology, United States

    5 publications · 278 citations

    5

    h-index

  3. SA
    Soon Ae Chun

    City University of New York, United States

    4 publications · 141 citations

    4

    h-index

  4. GF
    Gregory Farquhar

    University of Oxford, United Kingdom

    4 publications · 145 citations

    4

    h-index

  5. PM
    Pietro Mazzoleni

    University of Milan, Italy

    4 publications · 141 citations

    4

    h-index

1–5 of 746

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 2.2K citations

    17

    h-index

  2. IEEE Transactions on Vehicular Technology

    4 publications · 556 citations

    4

    h-index

  3. Procedia Computer Science

    4 publications · 128 citations

    4

    h-index

  4. IEEE Transactions on Smart Grid

    4 publications · 379 citations

    3

    h-index

  5. IEEE Internet of Things Journal

    3 publications · 230 citations

    3

    h-index

1–5