Design of autonomously learning controllers using FYNESSE
暂无分享,去创建一个
Martin Spott | Martin A. Riedmiller | Martin Riedmiller | Ralf Schoknecht | Ralf Schoknecht | M. Spott
[1] R. Bellman. Dynamic programming. , 1957, Science.
[2] C. D. Boor,et al. On Calculating B-splines , 1972 .
[3] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[4] Didier Dubois,et al. Possibility Theory - An Approach to Computerized Processing of Uncertainty , 1988 .
[5] C. Watkins. Learning from delayed rewards , 1989 .
[6] Michael I. Jordan,et al. Learning to Control an Unstable System with Forward Modeling , 1989, NIPS.
[7] Gerald Farin,et al. Curves and surfaces for computer aided geometric design , 1990 .
[8] D. Dubois,et al. Fuzzy sets in approximate reasoning. I, Inference with possibility distributions , 1991 .
[9] Hamid R. Berenji,et al. Learning and tuning fuzzy logic controllers through reinforcements , 1992, IEEE Trans. Neural Networks.
[10] Martin Brown,et al. A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications , 1995, Int. J. Neural Syst..
[11] Andrew G. Barto,et al. Learning to Act Using Real-Time Dynamic Programming , 1995, Artif. Intell..
[12] Didier Dubois,et al. Handling uncertainty with possibility theory and fuzzy sets in a satellite fault diagnosis application , 1996, IEEE Trans. Fuzzy Syst..
[13] Jianwei Zhang,et al. Constructing fuzzy controllers with B-spline models , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[14] Martin Spott,et al. First results on the application of the Fynesse control architecture , 1997, 1997 IEEE Aerospace Conference.
[15] Harro Kiendl,et al. Fuzzy Control methodenorientiert , 1997 .
[16] Rudolf Kruse,et al. Numerical stability analysis for fuzzy control , 1997, Int. J. Approx. Reason..
[17] Martin A. Riedmiller,et al. Reinforcement learning without an explicit terminal state , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[18] M. Spott. Using classic approximation techniques for approximate reasoning , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
[19] Ron Sun,et al. A subsymbolic+symbolic model for learning sequential navigation , 1998 .
[20] D. Dubois,et al. Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions , 1999 .
[21] Martin A. Riedmiller,et al. Using reinforcement learning for engine control , 1999 .
[22] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[23] Martin Spott,et al. A theory of possibility distributions , 1999, Fuzzy Sets Syst..