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作 者:Buheeerdun Yang Pingjun Hou Masayuki Kageyama
机构地区:[1]Graduate School of Science, Chiba University, Chiba, Japan [2]Nagoya City University, Nagoya, Japan
出 处:《Applied Mathematics》2013年第11期1490-1494,共5页应用数学(英文)
摘 要:This paper is a sequel to Kageyama et al. [1], in which a Markov-type hybrid process has been constructed and the corresponding discounted total reward has been characterized by the recursive equation. The objective of this paper is to formulate a hybrid decision process and to give the existence and characterization of optimal policies.This paper is a sequel to Kageyama et al. [1], in which a Markov-type hybrid process has been constructed and the corresponding discounted total reward has been characterized by the recursive equation. The objective of this paper is to formulate a hybrid decision process and to give the existence and characterization of optimal policies.
关 键 词:Hybrid DECISION Process Discounted REWARD CRITERIA Optimal Equation CHANCE Space Fixed Point THEOREM
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