Continuous-state Pomdps
Continuous-State POMDPs is a type of Partially Observable Markov Decision Process in which the state space is continuous rather than discrete, requiring approximation techniques for belief representation and value function estimation.
66
Publications
4K
Citations
151
Authors
66
Institutions
Publications per year
2017–2026
18
66
A survey of point-based POMDP solvers
Guy Shani, Joëlle Pineau, Robert Kaplow · Autonomous Agents and Multi-Agent Systems · 2012 · 433 citations
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
Andrew Y. Ng, Michael I. Jordan · arXiv (Cornell University) · 2013 · 369 citations · Full text
A POMDP formulation of preference elicitation problems
Craig Boutilier · 2002 · 276 citations
1–5 of 66
151
4
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Rutgers, The State University of New Jersey, United States
4 publications · 296 citations
4
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4
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3
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3
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1–5 of 151
66

Data61
Sydney, Australia
4 h-index
8 publications
288 citations
National University of Singapore
Singapore, Singapore
4 h-index
9 publications
562 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
241 citations

The University of Sydney
Sydney, Australia
3 h-index
9 publications
517 citations
Stanford University
Stanford, United States
3 h-index
5 publications
364 citations

McGill University
Montreal, Canada
3 h-index
6 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
227 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
5 publications
317 citations
1–8 of 66
Repository · 6 publications · 475 citations
6
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Conference · 4 publications · 97 citations
4
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2 publications · 454 citations
2
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2 publications · 40 citations
2
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2 publications · 103 citations
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