期刊名称：Journal of Intelligent Learning Systems and Applications
印刷版ISSN：2150-8402
电子版ISSN：2150-8410
出版年度：2010
卷号：2
期号：2
页码：80-85
DOI：10.4236/jilsa.2010.22011
出版社：Scientific Research Publishing
摘要：The autonomous mobile robots must be flexible to learn the new complex control behaviours in order to adapt effectively to a dynamic and varying environment. The proposed approach of this paper is to create a controller that learns the complex behaviours incorporating the learning from demonstration to reduce the search space and to improve the demonstrated task geometry by trial and corrections. The task faced by the robot has uncertainty that must be learned. Simulation results indicate that after the handful of trials, robot has learned the right policies and avoided the obstacles and reached the goal.
关键词：Mobile Robots; Learning from Demonstration; Neural Network Control; Reinforcement Learning
