方法证据记录
Deterministic Dynamic Programming
Deterministic Dynamic Programming (DDP) is a mathematical optimization technique that decomposes a multi-stage decision problem into a sequence of simpler subproblems, solving them exactly when all system parameters — transition functions, costs, and rewards — are known with certainty. It guarantees a globally optimal policy via Bellman's principle of optimality.
源记录
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Deterministic Dynamic Programming — Exact sequential optimization under known parameters
分类方法记录 · process-pipeline / simulation
- Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. · ISBN 9780691079516
- Bertsekas, D. P. (2017). Dynamic Programming and Optimal Control (4th ed., Vol. 1). Athena Scientific, Belmont, MA. · URL
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