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
881
Conflict-based search for optimal multi-agent pathfinding
Guni Sharon, Roni Stern, Ariel Felner et al. · Artificial Intelligence · 2014 · 1.2K citations
M. Tambe · Journal of Artificial Intelligence Research · 1997 · 902 citations · Full text
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658
Carnegie Mellon University
Pittsburgh, United States
25 h-index
88 publications
4.2K citations
University of Southern California
Los Angeles, United States
22 h-index
84 publications
9.2K citations
Ben-Gurion University of the Negev
Beersheba, Israel
22 h-index
59 publications
8.7K citations
Massachusetts Institute of Technology
Cambridge, United States
20 h-index
58 publications
2.5K citations
California Southern University
Chandler, United States
16 h-index
50 publications
4.7K citations

University of Massachusetts Amherst
Amherst Center, United States
16 h-index
32 publications
1.4K citations

Delft University of Technology
Delft, The Netherlands
16 h-index
35 publications
1.1K citations
University of Michigan
Ann Arbor, United States
15 h-index
35 publications
1.4K citations
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Conference · 26 publications · 1.4K citations
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Repository · 28 publications · 1.5K citations
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30 publications · 1.1K citations
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Conference · 20 publications · 1.3K citations
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JAIR · 17 publications · 1.6K citations
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