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Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning
Therefore, we propose Scheduled Curiosity-Deep Dyna-Q (SC-DDQ), a curiosity-driven curriculum learning framework based on a state-of-the-art model-based reinforcement learning dialog model, Deep Dyna-Q (DDQ).
Construction and Analysis of a Multimodal Chat-talk Corpus for Dialog Systems Considering Interpersonal Closeness
To facilitate research of such dialog systems, we are currently constructing a large-scale multimodal dialog corpus focusing on the relationship between speakers.
An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System
This paper explores the effect of emotional speech synthesis on a spoken dialogue system when the dialogue is non-task-oriented.
Improving User Impression in Spoken Dialog System with Gradual Speech Form Control
In this paper, we conduct dialog experiments and show that controlling the form of system utterances can improve the users{'} impression.
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