Deterministic Policy Search
Deterministic Policy Search is a method in Infinite-Horizon Markov Decision Processes that systematically identifies a stationary policy mapping states to actions without randomization, distinguished by its exclusive focus on deterministic decision rules to maximize long-term expected reward.
31
Publications
1.5K
Citations
97
Authors
44
Institutions
Publications per year
2017–2026
21
31
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
Andrew Y. Ng, Michael I. Jordan · arXiv (Cornell University) · 2013 · 369 citations · Full text
Solving POMDPs by Searching the Space of Finite Policies
Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling et al. · arXiv (Cornell University) · 2013 · 148 citations · Full text
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Beijing Institute of Technology
Beijing, China
2 h-index
5 publications
125 citations

Beijing University of Technology
Beijing, China
2 h-index
10 publications
430 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
9 publications
263 citations
Office National d'Études et de Recherches Aérospatiales
Palaiseau, France
1 h-index
2 publications
24 citations
Nanjing University of Science and Technology
Nanjing, China
1 h-index
3 publications
54 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
23 citations
Microsoft (United States)
Redmond, United States
1 h-index
2 publications
48 citations

Democritus University of Thrace
Komotini, Greece
1 h-index
2 publications
166 citations
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Repository · 3 publications · 546 citations
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2 publications · 61 citations
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2 publications · 164 citations
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Conference · 2 publications · 31 citations
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1 publications · 17 citations
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