Title :
Multi target tracking using a compact Q-learning with a teacher
Author :
Saad, E.M. ; Awadalla, M.H. ; Hamdy, A.M. ; Ali, H.I.
Author_Institution :
Dept. of Electron., Commun. & Comput. Eng., Helwan Univ., Cairo
Abstract :
This paper focuses on developing a team of mobile robots capable of learning via human interaction. A modified Q-learning algorithm incorporating a teacher is proposed. The paper first concentrates on simplifying the Q-learning algorithm to be implemented on small and simple team of robots having limited capabilities of memory and computational power. Second it concentrates on the incorporation of a human teacher in the Q-learning algorithm. Experiments using the well-known robot simulator Webots on both single and multi-target tracking tasks have been conducted. The achieved results show the success of the proposed algorithm in the over all system performance.
Keywords :
human-robot interaction; learning (artificial intelligence); mobile robots; target tracking; compact Q-learning; computational power; human-robot interaction; machine learning; mobile robots; multi target tracking; reinforcement learning; robot simulator Webots; Education; Educational robots; Hardware; Human robot interaction; Learning systems; Machine learning; Machine learning algorithms; Mobile communication; Mobile robots; Target tracking; Human-robot interaction; Machine learning; Q-learning; Reinforcement learning;
Conference_Titel :
Computer Engineering & Systems, 2008. ICCES 2008. International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-2115-2
Electronic_ISBN :
978-1-4244-2116-9
DOI :
10.1109/ICCES.2008.4772991