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Markov Decision Processes from Colored Petri Nets

机译:有色Petri网的马尔可夫决策过程。

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摘要

Models that are suitable for planning are not always easy to specify. In this paper we investigate the conversion of Petri nets into factored Markov decision processes: the former are relatively easy to build while the latter are adequate for policy generation. To represent probabilities that are needed when planning under uncertainty, we introduce factored Petri nets; we then describe the conversion of factored Petri nets in Markov decision processes.
机译:适用于计划的模型并非总是易于指定。在本文中,我们研究了将Petri网转换为因式马尔可夫决策过程:前者相对容易构建,而后者则足以生成政策。为了表示在不确定条件下进行规划时所需的概率,我们引入了因式Petri网;然后,我们描述了马尔可夫决策过程中因式Petri网的转换。

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