A reinforcement learning adaptive fuzzy controller for robots
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[1] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[2] S.H.G. ten Hagen. Continuous State Space Q-Learning for control of Nonlinear Systems , 2001 .
[3] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.
[4] Frank L. Lewis,et al. Adaptive critic neural network for feedforward compensation , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).
[5] John N. Tsitsiklis,et al. Simulation-based optimization of Markov reward processes , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).
[6] Lionel Jouffe,et al. Fuzzy inference system learning by reinforcement methods , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[7] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[8] John N. Tsitsiklis,et al. Analysis of temporal-difference learning with function approximation , 1996, NIPS 1996.
[9] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[10] Frank L. Lewis,et al. Multilayer neural-net robot controller with guaranteed tracking performance , 1996, IEEE Trans. Neural Networks.
[11] Richard S. Sutton,et al. Generalization in ReinforcementLearning : Successful Examples UsingSparse Coarse , 1996 .
[12] Andrew G. Barto,et al. Improving Elevator Performance Using Reinforcement Learning , 1995, NIPS.
[13] Xiao-Jun Zeng,et al. Approximation theory of fuzzy systems-MIMO case , 1995, IEEE Trans. Fuzzy Syst..
[14] Maarouf Saad,et al. Adaptive versus neural adaptive-control : application to robotics , 1994 .
[15] Xiao-Jun Zeng,et al. Approximation theory of fuzzy systems-SISO case , 1994, IEEE Trans. Fuzzy Syst..
[16] L X Wang,et al. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning , 1992, IEEE Trans. Neural Networks.
[17] Chuen-Chien Lee,et al. A self‐learning rule‐based controller employing approximate reasoning and neural net concepts , 1991, Int. J. Intell. Syst..
[18] Jean-Jacques E. Slotine,et al. Adaptive manipulator control: A case study , 1988 .
[19] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[20] Ebrahim H. Mamdani,et al. A linguistic self-organizing process controller , 1979, Autom..