MARKOV DECISION PROGRAMMING-THE FIRST PASSAGE MODEL WITH DENUMERABLE STATE SPACE
MARKOV DECISION PROGRAMMING-THE FIRST PASSAGE MODEL WITH DENUMERABLE STATE SPACE出 版 物:《Systems Science and Mathematical Sciences》 (系统科学与复杂性学报(英文版))
年 卷 期:1992年第5卷第4期
页 面:340-351页
核心收录:
学科分类:0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 08[工学] 0811[工学-控制科学与工程] 081103[工学-系统工程]
基 金:This research was supported by the National Natural Science Foundation of China
主 题:Markov decision programming first passage model optimal policy
摘 要:In this paper,we discuss MDP with discrete time parameter-the firstpassage model with denumerable state *** assumption A in this paper,we prove that an ε(0)-optimal stationary policy *** find an ε-optimalstationary policy,an algorithm of policy improvement iteration and a method ofsuccessive approximations are given.