most citedEnd-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient

31 citations · 31 across the 1 of their papers we have counts for

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1 paper

cs.AI2017★ 31 cited

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient

Li Zhou, Kevin Small, Oleg Rokhlenko +1

Learning a goal-oriented dialog policy is generally performed offline with supervised learning algorithms or online with reinforcement learning (RL). Additionally, as companies acc…