Combination of online clustering and Q-value based GA for reinforcement fuzzy system design
暂无分享,去创建一个
[1] Abdollah Homaifar,et al. Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..
[2] Long-Ji Lin,et al. Self-improving reactive agents: case studies of reinforcement learning frameworks , 1991 .
[3] F. Klawonn,et al. Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition , 1999 .
[4] John N. Tsitsiklis,et al. Analysis of temporal-difference learning with function approximation , 1996, NIPS 1996.
[5] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[6] D. Adler,et al. Genetic algorithms and simulated annealing: a marriage proposal , 1993, IEEE International Conference on Neural Networks.
[7] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[8] Hung-Yuan Chung,et al. A self-learning fuzzy logic controller using genetic algorithms with reinforcements , 1997, IEEE Trans. Fuzzy Syst..
[9] Peter Dayan,et al. Technical Note: Q-Learning , 2004, Machine Learning.
[10] C. S. George Lee,et al. Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems , 1994, IEEE Trans. Fuzzy Syst..
[11] Chin-Teng Lin,et al. Genetic Reinforcement Learning through Symbiotic Evolution for Fuzzy Controller Design , 2022 .
[12] P. Y. Glorennec,et al. Fuzzy Q-learning and dynamical fuzzy Q-learning , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
[13] T. Horiuchi,et al. Fuzzy interpolation-based Q-learning with continuous states and actions , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[14] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[15] Uzay Kaymak,et al. Fuzzy clustering with volume prototypes and adaptive cluster merging , 2002, IEEE Trans. Fuzzy Syst..
[16] L. Darrell Whitley,et al. Using Reproductive Evaluation to Improve Genetic Search and Heuristic Discovery , 1987, International Conference on Genetic Algorithms.
[17] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[18] Lionel Jouffe,et al. Fuzzy inference system learning by reinforcement methods , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[19] Hamid R. Berenji,et al. Learning and tuning fuzzy logic controllers through reinforcements , 1992, IEEE Trans. Neural Networks.
[20] Chin-Teng Lin,et al. Controlling chaos by GA-based reinforcement learning neural network , 1999, IEEE Trans. Neural Networks.
[21] Chris Watkins,et al. Learning from delayed rewards , 1989 .
[22] Vassilios Petridis,et al. A hybrid genetic algorithm for training neural networks , 1992 .
[23] Lampros Tsinas,et al. A combined neural and genetic learning algorithm , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[24] Chin-Teng Lin,et al. GA-based fuzzy reinforcement learning for control of a magnetic bearing system , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[25] Richard S. Sutton,et al. Reinforcement Learning , 1992, Handbook of Machine Learning.
[26] H. R. Berenji,et al. Fuzzy Q-learning for generalization of reinforcement learning , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[27] Donald Gustafson,et al. Fuzzy clustering with a fuzzy covariance matrix , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[28] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[29] P. Glorennec,et al. Fuzzy Q-learning , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[30] Richard S. Sutton,et al. Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming , 1990, ML.
[31] Chin-Teng Lin,et al. An online self-constructing neural fuzzy inference network and its applications , 1998, IEEE Trans. Fuzzy Syst..
[32] Risto Miikkulainen,et al. Efficient Reinforcement Learning through Symbiotic Evolution , 2004 .
[33] Darrell Whitley,et al. Optimizing small neural networks using a distributed genetic algorithm , 1990 .
[34] Ju-Jang Lee,et al. Constructing a fuzzy logic controller using evolutionary Q-learning , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.
[35] Uzay Kaymak,et al. Similarity measures in fuzzy rule base simplification , 1998, IEEE Trans. Syst. Man Cybern. Part B.
[36] L. Darrell Whitley,et al. Genetic Reinforcement Learning for Neurocontrol Problems , 2004, Machine Learning.
[37] Chin-Teng Lin,et al. An ART-based fuzzy adaptive learning control network , 1997, IEEE Trans. Fuzzy Syst..
[38] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[39] C.W. Anderson,et al. Learning to control an inverted pendulum using neural networks , 1989, IEEE Control Systems Magazine.