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Titlebook: Markov Decision Processes with Their Applications; Qiying Hu,Wuyi Yue Book 2008 Springer-Verlag US 2008 Markov decision process.Observable

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發(fā)表于 2025-3-21 17:00:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Markov Decision Processes with Their Applications
編輯Qiying Hu,Wuyi Yue
視頻videohttp://file.papertrans.cn/625/624624/624624.mp4
概述Presents new branches for Markov Decision Processes (MDP).Applies new methodology for MDPs with discounted total reward criterion.Offers new applications of MDPs in areas such as the control of discre
叢書名稱Advances in Mechanics and Mathematics
圖書封面Titlebook: Markov Decision Processes with Their Applications;  Qiying Hu,Wuyi Yue Book 2008 Springer-Verlag US 2008 Markov decision process.Observable
描述.Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs, continuous-time MDPs and semi-Markov decision processes. Starting from these three branches, many generalized MDPs models have been applied to various practical problems. These models include partially observable MDPs, adaptive MDPs, MDPs in stochastic environments, and MDPs with multiple objectives, constraints or imprecise parameters...Markov Decision Processes With Their Applications examines MDPs and their applications in the optimal control of discrete event systems (DESs), optimal replacement, and optimal allocations in sequential online auctions. The book presents four main topics that are used to study optimal control problems: a new methodology for MDPs with discounted total reward criterion; transformation of continuous-time MDPs and semi-Markov decision processes into a discrete-time MDPs model, thereby simplifying the application of MDPs; MDPs in stochastic environments, wh
出版日期Book 2008
關(guān)鍵詞Markov decision process; Observable; Optimal control; decision making problems; decision processes; discr
版次1
doihttps://doi.org/10.1007/978-0-387-36951-8
isbn_softcover978-1-4419-4238-8
isbn_ebook978-0-387-36951-8Series ISSN 1571-8689 Series E-ISSN 1876-9896
issn_series 1571-8689
copyrightSpringer-Verlag US 2008
The information of publication is updating

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Semi-Markov Decision Processes,t decision epochs are not considered. Those in CTMDPs are continuous time Markov chains, where the decision is chosen every time. In this chapter, we study a stationary semi-Markov decision processes (SMDPs) model, where the underlying stochastic processes are semi-Markov processes. Here, the decisi
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發(fā)表于 2025-3-22 09:01:23 | 只看該作者
Markovdecisionprocessesinsemi-Markov Environments,m that itself can be modeled by a Markov decision process, but the system is influenced by its environment which is modeled by a semi-Markov process. The influence of the environment on the system occurs when the environment state changes, and consists of the following three things: (1) an instantan
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發(fā)表于 2025-3-22 14:19:16 | 只看該作者
Optimal control of discrete event systems: I, new optimal control problem in DESs. The performance measure is to maximize the maximal discounted total reward among all possible strings (i.e., paths) of the controlled system. The condition we need for this is only that the performance measure is well defined. By using the method and ideas prese
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發(fā)表于 2025-3-22 19:27:18 | 只看該作者
Optimal control of discrete event systems: II,three ways. First, the discrete event system is defined as a collection of event sets that depend on strings. Whenthe system generates a string, the next event that occurs should be in the corresponding event set. Second, the rewards are for choosing control inputs at strings. Finally, the control p
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發(fā)表于 2025-3-22 23:44:07 | 只看該作者
Optimal replacement under stochastic Environments,nd thus should be replaced by a new one when it is too bad. There are two types of deterioration considered in reliability literature. The first one is due to the operation of the system itself, and the second one is caused by the influence of the environment, for example, shocks to the system. We c
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Optimalal location in sequential online Auctions,quential auctions on the Web and has a reserve price set on the items. We present two such Internet auction cases: one is where the reserve price is private (known only by the seller). The other one is where the reserve is public (known to all). The buyers arrive according to a Poisson process. The
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