Cooperative Multi-Agent Reinforcement Learning with Conversation Knowledge for Dialogue Management

Dialogue management plays a vital role in task-oriented dialogue systems, which has become an active area of research in recent years. Despite the promising results brought from deep reinforcement learning, most of the studies need to develop a manual user simulator additionally. To address the time...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Shuyu Lei, Xiaojie Wang, Caixia Yuan
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Subjects:	dialogue management user simulation reward shaping conversation knowledge multi-agent reinforcement learning
Online Access:	https://www.mdpi.com/2076-3417/10/8/2740