The motivation is that the dialog structure contains important information on the flow of the conversation; if the automatic dialog system can mimic the behaviour in human-human dialogs, it can interact with users in a more natural and user-friendly way.
we propose to integrate the dialog structure information into the reward design of the reinforcement learning (RL).