The scheme is formulated by Constrained Markov Decision Process (CMDP), which is solved by Linearly Programming (LP).
该方案被建模为约束马尔可夫决策过程(CMDP)，并采用线性规划(LP)求解此CMDP。
The optimal model of inspection and maintenance for the deteriorating system is presented with the semi-Markov decision process.
提出了一类基于半马氏决策过程的劣化失效系统检测与维修优化模型。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
By using of Markov Decision Process, the finite horizon inventory, pricing and capacity expansion problem is discussed, and the optimal strategy of which is obtained.
建立了马氏决策过程模型，首先对有限阶段问题进行了研究，得到了其最优策略。
In order to plan ahead for multiple moves, an algorithm known as a markov decision process is commonly used when there are only a reasonably small group of possible world states.
为了计划后面多个步骤，当可能的世界状态数目不算太多时，通常用到一种被称作马尔科夫决策过程的算法。
The solution to the cross-layer design is modeled as a Markov decision process and utilizes the linear programming method to obtain the optimal adaptive transmission policy.
该跨层设计将问题的求解建模为马尔科夫决策过程，利用线性规划推导出最优的自适应传输策略。
We explain the process of making forecast and decision for the market adopting Markov theory through some examples such as refrigerators market share of Haier et al.
以海尔、容声等冰箱的市场占有率为实例阐释马尔可夫链对市场进行预测与决策的全过程。
Binary Decision Diagram and Markov method are applied in the DFT modeling of satellite key devices to process static subtree and dynamic subtree, respectively.
分别采用二元决策图及马尔科夫方法对关键设备的动态故障树模型中静态子树和动态子树进行分析。
In this paper, firstly we use the nature of "Markov process" in the production-inventory system, studding its role in the market forecast and decision-making, combining with examples for explanation.
本文首先在生产一库存系统中利用马尔可夫“无后效性”的性质，来研究它在市场预测和决策中的作用，并结合实例来说明。
In this paper, firstly we use the nature of "Markov process" in the production-inventory system, studding its role in the market forecast and decision-making, combining with examples for explanation.
本文首先在生产一库存系统中利用马尔可夫“无后效性”的性质，来研究它在市场预测和决策中的作用，并结合实例来说明。
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