markov decision process

New Achievements in Adaptive Markov Decision Process

马尔可夫决策过程自适应决策的进展

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Based on the Semi-Markov decision process ( SMDP) approach, this paper studies the optimal call admission control policy problem.

本文研究了基于准马尔可夫决策过程方法的多业务最优呼叫接纳控制问题。

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Based of the method of linear programming of finite Markov decision process and neural network algorithm, a method for the solution of finite Markov decision problems has been introduced, the efficiency of the method being explained with examples.

在有限马尔可夫决策过程的线性规划求解方法以及神经网络算法的基础上提出了运用神经网络求解有限马尔可夫决策问题的方法.并通过算例验证了该方法的有效性。

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Using Markov decision process theory, the expression of the transition probability for different PM actions was set up, and then the optimal combination problem on multi-components PM strategy was solved.

运用马尔可夫决策过程理论，给出了不同维修方式转移概率的表达式，解决了预防性维修策略的组合优化问题。

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Discrete-time Risk Measures Based on Markov Decision Process

基于Markov决策过程的离散过程风险度量

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The concepts of Markov decision process and reinforcement learning are introduced firstly.

论文首先介绍了马尔可夫决策过程的基本概念和再励学习的框架。

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Partially Observable Markov Decision Process ( POMDP) is a general sequential decision-making model where the effects of actions are nondeterministic and the information about world states is partially available.

部分可观测马尔可夫决策过程（POMDP）是一种用于制定序列决策的经典模型。在该模型中，智能体做出动作所产生的效果是不确定的，对环境状态信息的观测也是不完整的。

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Application of Markov Decision Process in Condition Based Maintenance

马尔可夫决策过程在视情维修中的应用

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The paper formulates this optimization problem as a Markov decision process ( MDP) and use dynamic programming techniques to obtain the solution.

本文把这样一个优化问题构造为马尔可夫决策过程，并提出了用动态规划解决该问题的方法。

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Based on the Semi-Markov decision process ( SMDP ) approach, this paper studies optimal call admission control problem.

本文研究了基于准马尔可夫决策过程方法的多业务最优呼叫接纳控制问题.

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Maintenance measures and their corresponding cost are analyzed after dividing the corrosion state during oil-gas pipelines' maintenance, and Markov decision process is solved by appling strategy improvement algorithm.

在确定油气管道维修过程中的腐蚀状态划分以后，分析了油气管道的维修措施及相应费用，并采用策略改进算法对马尔可夫决策过程进行求解。

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A Transmission and Scheduling Scheme Based on Markov Decision Process in Cognitive Radio Networks

一种基于马尔可夫决策过程的认知无线电网络传输调度方案

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An Application of the Markov Decision Process to the Target Assignment

马尔可夫决策过程在防空系统目标分配中的应用

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The paper first presents an objective model of task scheduling, and then based on the analysis of Q learning algorithm, the Markov decision process description of the scheduling problem is given.

首先建立任务调度问题的目标模型，在分析Q学习算法的基础上，给出调度问题的马尔可夫决策过程描述；

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Markov Decision Process which is based on the deterministic dynamic planning and the Markov Process, is a theoretic tool for the researches on the optimizing problems of the multistage decision-making processes in the stochastic environment.

马尔可夫决策过程是确定性动态规划和马尔可夫过程结合的产物，是研究随机环境下多阶段决策过程优化问题的理论工具。

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Through a reverse breadth-first searching algorithm based on zone, interval Markov decision process with loose condition ( LIMDP) is obtained from IPTA.

通过基于zone的反向宽度优先搜索算法，得到宽松区间Markov决策过程。

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