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...
Main Authors: | , , , , |
---|---|
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 |