Genetic Reinforcement Learning for Neurocontrol Problems
暂无分享,去创建一个
[1] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[2] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[3] Richard S. Sutton,et al. Training and Tracking in Robotics , 1985, IJCAI.
[4] John H. Holland,et al. Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems , 1995 .
[5] Charles W. Anderson,et al. Strategy Learning with Multilayer Connectionist Representations , 1987 .
[6] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[7] Darrell Whitley,et al. Genitor: a different genetic algorithm , 1988 .
[8] Lawrence Davis,et al. Training Feedforward Neural Networks Using Genetic Algorithms , 1989, IJCAI.
[9] Michael O. Odetayo,et al. Genetic Algorithm for Inducing Control Rules for a Dynamic System , 1989, International Conference on Genetic Algorithms.
[10] D.E. Goldberg,et al. Classifier Systems and Genetic Algorithms , 1989, Artif. Intell..
[11] C.W. Anderson,et al. Learning to control an inverted pendulum using neural networks , 1989, IEEE Control Systems Magazine.
[12] P. J. Werbos,et al. Backpropagation and neurocontrol: a review and prospectus , 1989, International 1989 Joint Conference on Neural Networks.
[13] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[14] L. Darrell Whitley,et al. Optimizing Neural Networks Using FasterMore Accurate Genetic Search , 1989, ICGA.
[15] David H. Ackley,et al. Generalization and Scaling in Reinforcement Learning , 1989, NIPS.
[16] Tariq Samad,et al. Designing Application-Specific Neural Networks Using the Genetic Algorithm , 1989, NIPS.
[17] John J. Grefenstette,et al. A System for Learning Control Strategies with Genetic Algorithms , 1989, ICGA.
[18] Peter M. Todd,et al. Designing Neural Networks using Genetic Algorithms , 1989, ICGA.
[19] L. Darrell Whitley,et al. Genetic algorithms and neural networks: optimizing connections and connectivity , 1990, Parallel Comput..
[20] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .
[21] Andrew G. Barto,et al. Connectionist learning for control , 1990 .
[22] Claude Sammut,et al. Is Learning Rate a Good Performance Criterion for Learning? , 1990, ML Workshop.
[23] Larry J. Eshelman,et al. Using genetic search to exploit the emergent behavior of neural networks , 1990 .
[24] W. Thomas Miller,et al. A challenging set of control problems , 1990 .
[25] Darrell Whitley,et al. Optimizing small neural networks using a distributed genetic algorithm , 1990 .
[26] Dirk Thierens,et al. A Topology Exploiting Genetic Algorithm to Control Dynamic Systems , 1990, PPSN.
[27] L. Darrell Whitley,et al. Genetic Reinforcement Learning with Multilayer Neural Networks , 1991, ICGA.
[28] Jean-Arcady Meyer,et al. Reinforcement Learning Architectures for Animats , 1991 .
[29] David H. Ackley,et al. Interactions between learning and evolution , 1991 .
[30] A. P. Wieland,et al. Evolving neural network controllers for unstable systems , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[31] Richard S. Sutton,et al. Reinforcement learning architectures for animats , 1991 .
[32] Jocelyn Sietsma,et al. Creating artificial neural networks that generalize , 1991, Neural Networks.
[33] Richard S. Sutton,et al. A Menu of Designs for Reinforcement Learning Over Time , 1995 .
[34] Ben J. A. Kröse,et al. Learning from delayed rewards , 1995, Robotics Auton. Syst..
[35] John J. Grefenstette,et al. Learning sequential decision rules using simulation models and competition , 2004, Machine Learning.
[36] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[37] J. Fitzpatrick,et al. Genetic Algorithms in Noisy Environments , 2005, Machine Learning.