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결정론적 동적 계획법×확률적 동적 계획법×
분야시뮬레이션시뮬레이션
계열Process / pipelineProcess / pipeline
기원 연도19571957
창시자Richard E. BellmanBellman, R.; formalized for stochastic settings by Puterman, M. L.
유형Exact sequential optimization algorithmSequential optimization under uncertainty
원전Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780486428093
별칭DDP, Deterministic DP, Classical Dynamic Programming, Bellman Dynamic ProgrammingSDP, Markov Decision Process, MDP, Stochastic DP
관련66
요약Deterministic 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.Stochastic Dynamic Programming (SDP) is a mathematical optimization framework for sequential decision problems where outcomes are partly random. It extends Bellman's principle of optimality to stochastic environments, representing problems as Markov Decision Processes (MDPs) and computing optimal policies by solving recursive value equations over states and time periods.
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ScholarGate방법 비교: Deterministic Dynamic Programming · Stochastic Dynamic Programming. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare