方法证据记录
Policy Scenario Dynamic Programming
Policy Scenario Dynamic Programming (PSDP) applies Bellman's recursive optimization framework to a set of pre-specified policy scenarios, enabling decision-makers to compare staged, sequential decisions under distinct future conditions. It decomposes a complex, multi-period policy choice into tractable sub-problems solved backward through time, yielding optimal action sequences for each scenario and a structured basis for scenario comparison.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Policy Scenario Dynamic Programming — Sequential policy evaluation via Bellman optimality across discrete future states
分类方法记录 · process-pipeline / simulation
- Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. · ISBN 9780691079516
- Puterman, M. L. (1994). Markov Decision Processes: Discrete Stochastic Dynamic Programming. John Wiley & Sons, New York. · ISBN 9780471619772
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