Decomposed Deep Q-Network for Coherent Task-Oriented Dialogue Policy Learning-Reference-Cited by-同舟云学术

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Decomposed Deep Q-Network for Coherent Task-Oriented Dialogue Policy Learning

Published:2024 Issue: Volume:32 Page:1380-1391
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Zhao Yangyang¹^ORCID,Yin Kai²^ORCID,Wang Zhenyu²^ORCID,Dastani Mehdi³^ORCID,Wang Shihan³^ORCID

Affiliation:

1. Department of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China

2. Department of Software, South China University of Technology, Guangzhou, China

3. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10416351.pdf?arnumber=10416351

Reference47 articles.

1. AgentGraph: Toward Universal Dialogue Management With Structured Deep Reinforcement Learning

2. Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning

3. Learning goal-oriented dialogue policy with opposite agent awareness;Zhang

4. POMDP-Based Statistical Spoken Dialog Systems: A Review

5. Dynamic dialogue policy transformer for continual reinforcement learning;Geishauser,2022

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