Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

ACL 2017 Bhuwan DhingraLihong LiXiujun LiJianfeng GaoYun-Nung ChenFaisal AhmedLi Deng

This paper proposes KB-InfoBot -- a multi-turn dialogue agent which helps users search Knowledge Bases (KBs) without composing complicated queries. Such goal-oriented dialogue agents typically need to interact with an external database to access real-world knowledge... (read more)

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