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DIALOGUE STRATEGY LEARNING METHOD, PROGRAM, AND DEVICE, AND STORAGE MEDIUM

机译:对话策略学习方法,程序和设备以及存储介质

摘要

PPROBLEM TO BE SOLVED: To reduce the labor hour necessary for learning a dialogue strategy. PSOLUTION: The dialogue strategy learning device executes a procedure for accepting input of an evaluation value for a response to a user terminal in order to learn a Markov decision process; a procedure for integrating one or more similar states to one cluster paying attention to the frequency of transition of state; a procedure for forming a first Markov decision process from the evaluation value and the cluster by reinforcement learning; a procedure for decomposing the cluster of the first Markov decision process to the state before integration to form a second Markov decision process, and storing it in a storage means; and a procedure for outputting the second Markov decision process as a Markov decision process used in a dialogue system. PCOPYRIGHT: (C)2006,JPO&NCIPI
机译:

要解决的问题:减少学习对话策略所需的劳动时间。

解决方案:对话策略学习设备执行用于接受对用户终端的响应的评估值的输入的过程,以学习马尔可夫决策过程;一种将一个或多个相似状态集成到一个集群的过程,注意状态转换的频率;通过强化学习从评估值和聚类形成第一马尔可夫决策过程的过程;用于将第一马尔可夫决策过程的簇分解为积分前的状态以形成第二马尔可夫决策过程的过程,并将其存储在存储装置中;用于输出第二马尔可夫决策过程作为对话系统中使用的马尔可夫决策过程的过程。

版权:(C)2006,JPO&NCIPI

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