POMDP的翻译

Our algorithms apply to problems in which the environment is Markov, but the agent has restricted access to state information, which is called partially observable Markov decision processes ( POMDP).

环境本身是马氏的，但是学习单元却不能感知全部的状态信息，此时我们也称其为部分可观测马氏决策过程（POMDP）。

Based on the partially observable MDP ( POMDP), a new model for a spoken dialogue system is proposed. It uses the concept of partially observable to handle the uncertainty.

提出了一种新的基于部分可观察MDP（POMDP）的口语对话系统模型，用部分可观察特性来处理不确定问题。

With the performance analyzed and compared through experiments on common workbench, solving POMDP problems using instance based methods can produce good sub-optimal solutions.

实验证明，基于实例的方法来求解POMDP问题，能够获得性能较好的次优解。