Structural Optimization and Online Evolutionary Learning for Spoken Dialog Management

CORC > 新疆理化技术研究所 > 中国科学院新疆理化技术研究所 > 多语种信息技术研究室

	Structural Optimization and Online Evolutionary Learning for Spoken Dialog Management
	Ren, H (Ren, Hang); Yan, YH (Yan, Yonghong)
刊名	IEEE SIGNAL PROCESSING LETTERS
	2016
卷号	23 期号:7 页码:1013-1017
关键词	Human-computer interaction speech processing genetic algorithms
英文摘要	Designing dialog management (DM) policies that are robust to environmental noises is a nontrivial task. Approaches based on reinforcement learning (RL) are popular in academia and have been empirically shown to exhibit much better performance than handcrafted policies. However, the policies trained using RL are mostly incomprehensible, thus limiting the deployments for commercial applications. Policy optimization using genetic algorithm (GA) is a relatively new approach to spoken DM. The most notable advantage of this approach is that the trained policies can be directly interpreted by human experts. In this letter, we make several contributions to the GA-based framework. First, a structural policy learning procedure is presented. Second, a new fitness estimation method based on fitted policy evaluation is proposed. Finally, combining with these methods, an online evolutionary policy learning algorithm is designed which is much more data efficient than direct policy search using Monte Carlo simulations. These proposed approaches are empirically evaluated and compared with several state-of-the-art methods in a simulated environment. The experiments show favorable results for our approach.
收录类别	SCI
WOS记录号	WOS:000379694800009
内容类型	期刊论文
源URL	[http://ir.xjipc.cas.cn/handle/365002/4652]
专题	新疆理化技术研究所_多语种信息技术研究室
作者单位	1.Chinese Acad Sci, Inst Acoust, Key Lab Speech Acoust & Content Understanding, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Xinjiang Lab Minor Speech & Language Informat Pro, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ren, H ,Yan, YH . Structural Optimization and Online Evolutionary Learning for Spoken Dialog Management[J]. IEEE SIGNAL PROCESSING LETTERS,2016,23(7):1013-1017.
APA	Ren, H ,&Yan, YH .(2016).Structural Optimization and Online Evolutionary Learning for Spoken Dialog Management.IEEE SIGNAL PROCESSING LETTERS,23(7),1013-1017.
MLA	Ren, H ,et al."Structural Optimization and Online Evolutionary Learning for Spoken Dialog Management".IEEE SIGNAL PROCESSING LETTERS 23.7(2016):1013-1017.