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| STRUCTURE OF OPTIMAL POLICIES FOR DISCOUNTED SEMI-MARKOV DECISION PROGRAMMING WITH UNBOUNDED REWARDS | |
| 作者姓名： | 董泽清 刘克 |
| 作者单位： | Institute of Applied Mathematics，Academia Sinica，Beijing，Institute of Applied Mathematics，Academia Sinica，Beijing |
| 摘 要： | In this paper, we discuss the structure of optimal policies for discountedsemi--Markov decision programming with unbounded rewards: {S, (A(i), i∈S), q, t,r,V_α}, where state space S is a countable set; in state i∈S, available action setA(i) is any set, and (A(i),(i)) is a measurable space; q is a time homogeneousfamily of jumps of states; t is a distributiou family of state jump's time, andonly depends on current state and current action too; V_αis the αa-discounted totalexpected reward. |
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