[1] Yan PF.Reinforcement learning —theory,algorithms and applications in intelligent control.Information and Control,1996,25 (1) :28～34 (inChinese with English abstract)

[2] Lin CT,Lee CSG.Reinforcement structurePparameter learning for neural2network2based fuzzy logic control systems.IEEE Transaction on Fuzzy Systems,1994,2 (1) : 46～63

[3] Lin CT,Kan MC.Adaptive fuzzy command acquisition with reinforcement learning.IEEE Transaction on Fuzzy Systems,1998,6 (1) : 102～121

[4] Ye C,Yung NHC,Wang DW.A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance.IEEETransaction on Systems,Man and Cybernetics2Part B,2003,33 (1) : 17～27

[5] Barto AG,Sutton RS,Anderson CW.Neuronlike adaptive elements that can solve difficult learning control problems.IEEE Transaction on Systems, Man and Cybernetics,1983,13 (5) : 834～846

[6] Ishibuchi H,Nozaki K,Tanaka H.Distributed representation of fuzzy rules and its applications to pattern classification.Fuzzy Sets and Systems,1992,52 (1) : 21～32

[7] Li JN,Yi JQ,Zhao DB.On2line rule generation for robotic behavior controller based on a neural2fuzzy inference network.IEEE InternationalConference on Machine Learning and Cybernetics,2004 : 558～563

[8] Lin CJ,Lin CT.Reinforcement learning for an ART2based fuzzy adaptive learning control network.IEEE Transaction on Neural Network,1996,7(3) : 709～731

[9] Brooks R.A robust layered control systems for a mobile robot.IEEE Transactions on Robotics and Automation,1986,2 (1) : 14～23

[1] 阎平凡.再励学习———原理、算法及其在智能控制中的应用.信息与控制,1996,25 (1) : 28～34