End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning

29 Nov 2017Bing LiuGokhan TurDilek Hakkani-TurPararth ShahLarry Heck

In this paper, we present a neural network based task-oriented dialogue system that can be optimized end-to-end with deep reinforcement learning (RL). The system is able to track dialogue state, interface with knowledge bases, and incorporate query results into agent's responses to successfully complete task-oriented dialogues... (read more)

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