Multiagent Pomdps
Multiagent POMDPs is a decentralized stochastic planning framework that extends the partially observable Markov decision process to multiagent settings by modeling cooperative decision-making under uncertainty, where multiple agents maintain individual beliefs and act based on local observations while sharing a common goal.
179
Publications
9.5K
Citations
313
Authors
141
Institutions
Publications per year
2017–2026
43
Variants
Dec-pomdps
179
Monte-Carlo Planning in Large POMDPs
David Silver, Joel Veness · DSpace@MIT (Massachusetts Institute of Technology) · 2010 · 856 citations · Full text
Taming decentralized POMDPs: towards efficient policy computation for multiagent settings
Ranjit Nair, Milind Tambe, Makoto Yokoo et al. · 2003 · 330 citations
1–5 of 179
313
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Massachusetts Institute of Technology, United States
17 publications · 915 citations
16
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13
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12
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1–5 of 313
141

University of Massachusetts Amherst
Amherst Center, United States
18 h-index
38 publications
2K citations
University of Southern California
Los Angeles, United States
13 h-index
43 publications
3.3K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
29 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
26 publications
960 citations
Instituto Superior Técnico
Lisbon, Portugal
10 h-index
17 publications
456 citations

University of Amsterdam
Amsterdam, The Netherlands
10 h-index
15 publications
1.1K citations
University of Illinois Chicago
Chicago, United States
9 h-index
18 publications
1.3K citations
University of Lisbon
Lisbon, Portugal
9 h-index
13 publications
510 citations
1–8 of 141
Repository · 9 publications · 715 citations
9
h-index
Conference · 9 publications · 350 citations
9
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JAIR · 8 publications · 695 citations
8
h-index
6 publications · 282 citations
6
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5 publications · 386 citations
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