A reinforcement learning adaptive fuzzy controller for robots

[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..