Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings

Takuya Hiraoka, Masaaki Tsuchida, Yotaro Watanabe

This paper is the first attempt to learn the policy of an inquiry dialog system (IDS) by using deep reinforcement learning (DRL). Most IDS frameworks represent dialog states and di…