Adaptive reinforcement learning with active state-specific exploration for engagement maximization during simulated child-robot interaction

Using assistive robots for educational applications requires robots to be able to adapt their behavior specifically for each child with whom they interact.Among relevant signals, non-verbal cues such as the child’s gaze can provide the robot with important information about the child’s current engag...

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Bibliographic Details
Main Authors: Velentzas George, Tsitsimis Theodore, Rañó Iñaki, Tzafestas Costas, Khamassi Mehdi
Format: Article
Language:English
Published: De Gruyter 2018-09-01
Series:Paladyn: Journal of Behavioral Robotics
Subjects:
Online Access:https://doi.org/10.1515/pjbr-2018-0016