The "Principle of Optimality" is a foundational theorem in dynamic programming stating that an optimal policy has the property that, regardless of the initial state and decision, the remaining decisions must constitute an optimal policy with respect to the state resulting from the first decision.
129
Publications
5.7K
Citations
193
Authors
101
Institutions
Publications per year
2017–2026
10
Variants
Bellman's Principle Of Optimality
Parents
Publications
129
1–5 of 129
Authors
193
- KY
5
h-index
- RV
3
h-index
- MS
3
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- ED
2
h-index
- TK
2
h-index
1–5 of 193
Institutions
101
Tokyo Metropolitan University
Tokyo, Japan
5 h-index
11 publications
268 citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
193 citations
University of California San Diego
San Diego, United States
3 h-index
4 publications
442 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
3 publications
155 citations
Stanford University
Stanford, United States
3 h-index
3 publications
325 citations
University of Illinois Chicago
Chicago, United States
2 h-index
3 publications
90 citations
University of Kentucky
Lexington, United States
2 h-index
5 publications
278 citations
Princeton University
Princeton, United States
2 h-index
2 publications
35 citations
1–8 of 101
Venues
- Journal of Mathematical Analysis and Applications
8 publications · 255 citations
8
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- SIAM Journal on Control and Optimization
5 publications · 428 citations
5
h-index
- Journal of Optimization Theory and Applications
4 publications · 426 citations
4
h-index
- Proceedings of the Steklov Institute of Mathematics
3 publications · 70 citations
3
h-index
- Nonlinear Analysis
3 publications · 41 citations
3
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1–5