Applied-Markov-Decision-Processes

  本书从简单的例子开始 ,介绍了马尔可夫决策过程的基本概念、决策过程以及一些常用 的基本理论 .还介绍了多种最优准则 , 包括有限阶段准则、折扣准则、平均准则、权重报酬准 则、概率准则等 .从模型角度考虑了有限状态空间、可数状态空间和一般 Borel 状态空间 从 决策时间上来说 , 考虑了离散时间、连续时间和半马氏决策时刻问题 .本文还介绍了大量的应 用实例以及建模方法 .本书可作为高年级大学生和研究生教材 , 也可作为运筹学、管理科学、 信息科学、系统科学以及计算机科学和工程领域的学者和技术人员的参考书 . (From the simple example of this book introduces the basic concepts of Markov decision processes, and decision-making process as well as some common basic theory also describes the various optimal criteria, including criteria for limited stage, discounted, average criteria weights remuneration The guidelines, such as the probability criterion from the point of view of the finite state model space countable state space and general Borel state space from the decision-making time, consider a discrete-time, continuous-time and half-time Markov decision problem this article describes. a large number of application examples and modeling methods. book can serve as senior undergraduate and graduate teaching, but also as research, reference management science, information science, system science, and academics and technical staff in computer science and engineering fields.)

Applied Markov Decision Processes.pdf,1346002,2014-08-01