A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning

doi:10.1007/s11633-022-1347-y

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning
	Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong
刊名	Machine Intelligence Research
	2023
卷号	20 期号:3 页码:318-334
关键词	Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process
ISSN号	2731-538X
DOI	10.1007/s11633-022-1347-y
英文摘要	Dialogue policy learning (DPL) is a key component in a task-oriented dialogue (TOD) system. Its goal is to decide the next action of the dialogue system, given the dialogue state at each turn based on a learned dialogue policy. Reinforcement learning (RL) is widely used to optimize this dialogue policy. In the learning process, the user is regarded as the environment and the system as the agent. In this paper, we present an overview of the recent advances and challenges in dialogue policy from the perspective of RL. More specific ally, we identify the problems and summarize corresponding solutions for RL-based dialogue policy learning. In addition, we provide a comprehensive survey of applying RL to DPL by categorizing recent methods into five basic elements in RL. We believe this survey can shed light on future research in DPL.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/51705]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	The Systems Engineering and Engineering Management Department, The Chinese University of Hong Kong, Hong Kong 999077, China
推荐引用方式 GB/T 7714	Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong. A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning[J]. Machine Intelligence Research,2023,20(3):318-334.
APA	Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong.(2023).A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning.Machine Intelligence Research,20(3),318-334.
MLA	Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong."A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning".Machine Intelligence Research 20.3(2023):318-334.