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 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。
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。
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。
应用推荐