MARKOVIAN DECISION PROCESSES WITH UNCERTAIN TRANSITION PROBABILITIES
MARKOVIAN DECISION PROCESSES WITH UNCERTAIN TRANSITION PROBABILITIES
复制标题
具有不确定转移概率的马尔可夫决策过程
DOI：
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发表时间：
1965
期刊：
影响因子：
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通讯作者：
Ralph L. Miller
中科院分区：
文献类型：
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作者：
John M Gozzolino;Romulo H. Gonzalez;Ralph L. Miller
翻译后摘要：马尔可夫决策过程中的转移概率未知时，提出了一种动态规划制定。这种提法是用来解决简单的问题，但被证明是太难适用于更复杂的系统。然后提出并讨论了各种近似方法。最后给出了一个简单的近似算法。
Abstract : A dynamic programming formulation for the Markovian decision process when transition probabilities are unknown is proposed. This formulation is used to solve simple problems, but is shown to be too difficult to apply to more complex systems. Various approximate methods are then proposed and discussed. A simple approximating algorithm is finally presented.