Scalable Planning Algorithms

Scalable Planning Algorithms is a class of computational methods in decentralized planning that enables efficient and tractable decision-making in large-scale or dynamically expanding multi-agent systems by maintaining performance and solution quality as the number of agents or environmental complexity increases.

112

Publications

5.8K

Citations

269

Authors

136

Institutions

Publications per year

2017–2026

35

Authors

269

  1. SZ
    Shlomo Zilberstein

    University of Massachusetts Amherst, United States

    8 publications · 364 citations

    8

    h-index

  2. CA
    Christopher Amato

    Massachusetts Institute of Technology, United States

    7 publications · 360 citations

    7

    h-index

  3. GJ
    George J. Pappas

    University of Pennsylvania, United States

    6 publications · 353 citations

    6

    h-index

  4. FA
    Frans A. Oliehoek

    University of Amsterdam, Netherlands

    5 publications · 228 citations

    5

    h-index

  5. AK
    Akshat Kumar

    University of Massachusetts Amherst, United States

    5 publications · 144 citations

    5

    h-index

1–5 of 269

Venues

  1. 11

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  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 11 publications · 640 citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 7 publications · 371 citations

    7

    h-index

  4. Journal of Artificial Intelligence Research

    JAIR · 5 publications · 253 citations

    5

    h-index

  5. 2

    h-index

1–5