Markov Decision Processes from Colored Petri Nets

被引：0

作者：

Eboli, Monica Goes ^{[1
]}

Cozman, Fabio Gagliardi ^{[1
]}

机构：

[1] Escola Politecn Univ Sao Paulo, Sao Paulo, Brazil

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE - SBIA 2010 | 2010年 / 6404卷

关键词：

Planning under uncertainty; Markov decision processes; Colored Petri nets;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：72 / 81

页数：10

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