Title :
The Fuzzy Sars´a´(λ) Learning Approach Applied to a Strategic Route Learning Robot Behaviour
Author :
Theodoridis, Theodoros ; Hu, Huosheng
Author_Institution :
Dept. of Comput. Sci., Essex Univ., Colchester
Abstract :
This paper presents a novel Fuzzy Sarsa(λ) Learning (FSλL) approach applied to a strategic route leaning task of a mobile robot. FSlambdaL is a hybrid architecture that combines reinforcement learning and fuzzy logic control. The Sarsa(λ) learning algorithm is used to tune the rule-base of a fuzzy Logic controller which has been tested in a route learning task. The robot explores its environment using its fixed experience provided by a discretized fuzzy logic controller, and then learns optimal policies to achieve goals in less time and less error.
Keywords :
control system synthesis; fuzzy control; knowledge based systems; learning (artificial intelligence); mobile robots; Fuzzy Sarsa(λ) Learning; controller tuning; discretized controller; fuzzy logic control; hybrid architecture; mobile robots; reinforcement learning; rule-base control; strategic route learning robot behaviour; Acceleration; Automatic control; Engines; Error correction; Fuzzy control; Fuzzy logic; Intelligent robots; Learning; Robot control; Robot kinematics; Fuzzy Logic Controllers; Fuzzy Q-Learning; Reinforcement Learning; Robot Autonomy; Sarsa(λ);
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
DOI :
10.1109/IROS.2006.282215