Factored Pomdps
Factored POMDPs is a modeling framework for partially observable Markov decision processes in which the state and observation spaces are represented compactly using factored representations based on structured dependencies among state and observation variables.
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1.3K
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56
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31
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2017–2026
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Variants
Factored Partially Observable Markov Decision Processes
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POMDPs for robotic tasks with mixed observability
SM Ong, Shaowei Png, Daniel Hsu et al. · 2009 · 96 citations · Full text
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Delft University of Technology
Delft, The Netherlands
4 h-index
4 publications
68 citations
Mississippi State University
Starkville, United States
3 h-index
4 publications
235 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
4 publications
85 citations
Ben-Gurion University of the Negev
Beersheba, Israel
2 h-index
4 publications
123 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
257 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
2 publications
106 citations
National University of Singapore
Singapore, Singapore
2 h-index
7 publications
1.1K citations
University of Lisbon
Lisbon, Portugal
2 h-index
4 publications
76 citations
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Conference · 3 publications · 183 citations
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Repository · 2 publications · 98 citations
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JMLR · 1 publications · 10 citations
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1 publications · 13 citations
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IJRR · 1 publications · 238 citations
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