Titlebook: Optimal Stochastic Scheduling; Xiaoqiang Cai,Xianyi Wu,Xian Zhou Book 2014 Springer Science+Business Media New York 2014 Bandit Processes.

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Basic Concepts,evelop optimal policies for a wide range of scheduling problems in subsequent chapters. In Section 1.1, we summarize the fundamental theory of probability in a compact and concise way. Section 1.2 discusses several versions of stochastic orders for comparing random variables, which are essential for

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Multi-Armed Bandit Processes,discounted rewards. Multi-armed bandit models form a particular type of optimal resource allocation problems, in which a number of machines or processors are to be allocated to serve a set of competing projects (arms). We introduce the classical theory for multi-armed bandit processes in Section 6.1

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Dynamic Policies,e impacts of different levels of information utilization. Section 7.2 treats optimal policies in the class of restricted dynamic policies for problems subject to random machine breakdowns under the total-loss model. Section 7.3 studies the optimal restricted dynamic policies for no-loss breakdown mo

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