Adaptive Robot Assisted Therapy using Interactive Reinforcement Learning

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Conference Proceedings (fully refereed)
Tsiakas, K., Dagioglou, M., Makedon, F. & Karkaletsis, V.
In this paper, we present an interactive learning and adaptation framework that facilitates the adaptation of an interactive agent to a new user. We argue that Interactive Reinforcement Learning methods can be utilized and integrated to the adaptation mechanism, enabling the agent to refine its learned policy in order to cope with different users. We illustrate our framework with a use case in the domain of Robot Assisted Therapy. We present our results of the learning and adaptation experiments against different simulated users, showing the motivation of our work and discussing future directions towards the definition and implementation of our proposed framework.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
ICSR 2016
Conference Full Name: 
8th International Conference on Social Robotics
Conference Country: 
US:United States
Conference City: 
Kansas City
Conference Date(s): 
Tue, 01/11/2016 - Thu, 03/11/2016
Conference Level: 

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