Multi-agent Planning

Multi-Agent Planning is a computational framework within multi-agent systems that coordinates the autonomous decision-making processes of multiple agents to achieve shared or interdependent goals while accounting for individual capabilities, constraints, and potential interactions among agents.

881

Publications

42.3K

Citations

2K

Authors

658

Institutions

Publications per year

2017–2026

263

Authors

2K

  1. SK
    Sven Koenig

    University of Southern California, United States

    22 publications · 1.7K citations

    20

    h-index

  2. HM
    Hang Ma

    University of Southern California, United States

    14 publications · 1.3K citations

    14

    h-index

  3. RS
    Roni Stern

    Ben-Gurion University of the Negev, Israel

    15 publications · 2.2K citations

    14

    h-index

  4. EH
    Edmund H. Durfee

    University of Michigan, United States

    14 publications · 511 citations

    13

    h-index

  5. JL
    Jiaoyang Li

    University of Southern California, United States

    12 publications · 1.2K citations

    12

    h-index

1–5 of 2K

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 26 publications · 1.4K citations

    21

    h-index

  2. arXiv (Cornell University)

    Repository · 28 publications · 1.5K citations

    18

    h-index

  3. 18

    h-index

  4. Adaptive Agents and Multi-Agents Systems

    Conference · 20 publications · 1.3K citations

    15

    h-index

  5. Journal of Artificial Intelligence Research

    JAIR · 17 publications · 1.6K citations

    15

    h-index

1–5