Knowledge Commons of Institute of Automation,CAS
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 | |
发表期刊 | Machine Intelligence Research |
ISSN | 2731-538X |
2023 | |
卷号 | 20期号:3页码:318-334 |
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. |
关键词 | Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process |
DOI | 10.1007/s11633-022-1347-y |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/eHEkTorgVaRhfC3KK9hYSQ |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55983 |
专题 | 学术期刊_Machine Intelligence Research |
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,et al. 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,et al."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. |
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MIR-2022-05-140.pdf(2211KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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