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
Parents
112
1–5 of 112
269
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University of Massachusetts Amherst
Amherst Center, United States
8 h-index
12 publications
528 citations
University of Southern California
Los Angeles, United States
7 h-index
14 publications
788 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
7 publications
320 citations
University of California, Berkeley
Berkeley, United States
6 h-index
14 publications
516 citations
Singapore Management University
Singapore, Singapore
5 h-index
14 publications
278 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
6 publications
325 citations
University of Pennsylvania
Philadelphia, United States
5 h-index
11 publications
637 citations

Data61
Sydney, Australia
5 h-index
7 publications
711 citations
1–8 of 136
11 publications · 338 citations
11
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Conference · 11 publications · 640 citations
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Repository · 7 publications · 371 citations
7
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JAIR · 5 publications · 253 citations
5
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Repository · 2 publications · 64 citations
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