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

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

Internet

https://www.mdpi.com/2076-3417/10/8/2740

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