Arcades: A deep model for adaptive decision making in voice controlled smart-home

In a voice-controlled smart-home, a controller must respond not only to user's requests but also according to the interaction context. This paper describes Arcades, a system which uses deep reinforcement learning to extract context from a graphical representation of home automation system and t...

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Veröffentlicht in:	arXiv.org 2018-07
Hauptverfasser:	Brenon, Alexis, Portet, François, Vacher, Michel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Robotics Decision making Graphical representations Smart buildings Statistics - Machine Learning Upgrading Voice control
Online-Zugang:	Volltext
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