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VECTOR-VALUED SEMI-MARKOVIAN DECISION PROGRAMMING
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作者 刘克 刘建庸 《Chinese Science Bulletin》 SCIE EI CAS 1991年第13期1065-1069,共5页
White and Furukawa have discussed vector-valued Markovian decision programming (VMDP). The relations between finite horizon and infinite horizon about VMDP were discussed in [1]. Furukawa generalized the iteration alg... White and Furukawa have discussed vector-valued Markovian decision programming (VMDP). The relations between finite horizon and infinite horizon about VMDP were discussed in [1]. Furukawa generalized the iteration algorithm from the scalar case into the vector case, and gave the method to find all optimal policies. His algorithm is described briefly in the following way: Starting with any stationary policy, we 展开更多
关键词 vector-valued markovian decision programming OPTIMAL policy.
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