Cited by 998Adaptive Dynamic Programming ControlComplexity and Algorithms in GraphsOptimization and Mathematical Programming

On the theory of dynamic programming

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Bellman, Richard·1952·Proceedings of the National Academy of Sciences

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Crossref · 10.1073/pnas.38.8.716

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  • The target G-value equation is an application of Bellman's equation to the expected free energy.

    “Note, the above Equation is an application of Bellman's equation (Bellman, 1952) to the expected free energy.”

    From Deconstructing Deep Active Inference: A Contrarian Information Gatherer (2024) · cites this paper as Bellman, 1952

  • Storing intermediate values in memory allows the N-th Fibonacci number to be computed in time linear to N, achieving an exponential speedup over direct recursive computation.

    “if we store intermediate values of u1D439 ( u1D45B ) in memory and retrieve them whenever necessary, u1D439 ( u1D441 ) can be computed in time linear to u1D441 , achieving an exponential speedup.”

    From Quantum Dynamic Programming (2025) · cites this paper as [2]

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Research works printed but not linked: 1

  1. Wald, A., Statistical Decision Functions, John Wiley & Sons, NewYork, 1950.

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Authors
Bellman, R.
Affiliations
RAND Corporation (US)
Corresponding author
Bellman, Richard
Venue
Proceedings of the National Academy of Sciences
Published
1952-08
Volume
38
Issue
8
Pages
716-719
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2056653303
Cited by
998
References
0
Citations by year
2026: 39 · 2025: 76 · 2024: 66 · 2023: 88 · 2022: 64 · 2021: 86 · 2020: 69 · 2019: 51 · 2018: 51 · 2017: 51 · 2016: 47 · 2015: 37 · 2014: 41 · 2013: 32 · 2012: 40
FWCI
18.93
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Adaptive Dynamic Programming Control
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
  • Physical Sciences › Engineering › Control and Systems Engineering › Optimization and Mathematical Programming
Keywords
dynamic programming, optimal control, sequential decision making, optimization theory

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