Continuous-action Pomdps
Continuous-Action POMDPs is a type of partially observable Markov decision process in which the action space is characterized by continuous variables, distinguishing it from discrete-action variants by enabling infinite, real-valued action selections within a bounded or unbounded domain.
20
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2K
Citations
45
Authors
19
Institutions
Publications per year
2017–2026
8
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PEGASUS: A Policy Search Method for Large MDPs and POMDPs
Andrew Y. Ng, Michael I. Jordan · arXiv (Cornell University) · 2013 · 369 citations · Full text
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Massachusetts Institute of Technology, United States
2 publications · 49 citations
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Stanford University
Stanford, United States
2 h-index
4 publications
346 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
8 publications
196 citations

The University of Queensland
Brisbane, Australia
1 h-index
3 publications
222 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
71 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
168 citations

Washington University in St. Louis
St Louis, United States
1 h-index
1 publications
42 citations
American Institute of Aeronautics and Astronautics
Reston, United States
1 h-index
1 publications
36 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
2 publications
40 citations
1–8 of 19
2 publications · 219 citations
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Repository · 2 publications · 382 citations
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Repository · 1 publications · 39 citations
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1 publications · 49 citations
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1 publications · 71 citations
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