Efficient memory-based learning for robot control
暂无分享,去创建一个
[1] DAVID G. KENDALL,et al. Introduction to Mathematical Statistics , 1947, Nature.
[2] J. C. Burkill. A First Course in Mathematical Analysis , 1962 .
[3] A. L. Samuel,et al. Some studies in machine learning using the game of checkers. II: recent progress , 1967 .
[4] Peter E. Hart,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[5] James S. Albus,et al. Data Storage in the Cerebellar Model Articulation Controller (CMAC) , 1975 .
[6] Jon Louis Bentley,et al. An Algorithm for Finding Best Matches in Logarithmic Expected Time , 1976, TOMS.
[7] M. Raibert. Motor Control and Learning by the State Space Model , 1977 .
[8] W. Cleveland. Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .
[9] D. J. Bell,et al. Numerical Methods for Unconstrained Optimization , 1979 .
[10] Alexander Graham,et al. Introduction to Control Theory, Including Optimal Control , 1980 .
[11] Jon Louis Bentley,et al. Multidimensional divide-and-conquer , 1980, CACM.
[12] R. Franke. Scattered data interpolation: tests of some methods , 1982 .
[13] Hendrik Van Brussel,et al. A self-learning automaton with variable resolution for high precision assembly by industrial robots , 1982 .
[14] Larry A. Rendell,et al. A New Basis for State-Space Learning Systems and a Successful Implementation , 1983, Artif. Intell..
[15] H. Simon,et al. Rediscovering Chemistry with the Bacon System , 1983 .
[16] J. Ross Quinlan,et al. Learning Efficient Classification Procedures and Their Application to Chess End Games , 1983 .
[17] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[18] David L. Waltz,et al. Toward memory-based reasoning , 1986, CACM.
[19] King-Sun Fu,et al. Learning Control Systems-Review and Outlook , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Paul E. Utgoff,et al. Learning to control a dynamic physical system , 1987, Comput. Intell..
[21] Bartlett W. Mel. MURPHY: A Robot that Learns by Doing , 1987, NIPS.
[22] Filson H. Glanz,et al. Application of a General Learning Algorithm to the Control of Robotic Manipulators , 1987 .
[23] C. S. G. Lee,et al. Robotics: Control, Sensing, Vision, and Intelligence , 1987 .
[24] W. Cleveland,et al. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .
[25] Trevor N. Mudge,et al. Efficient Recognition of Partially Visible Objects Using a Logarithmic Complexity Matching Technique , 1989, Int. J. Robotics Res..
[26] Christopher G. Atkeson,et al. Using Local Models to Control Movement , 1989, NIPS.
[27] David W. Aha,et al. Instance‐based prediction of real‐valued attributes , 1989, Comput. Intell..
[28] Michael I. Jordan,et al. Learning to Control an Unstable System with Forward Modeling , 1989, NIPS.
[29] Darrell Whitley,et al. Applying genetic algorithms to neural network learning , 1989 .
[30] David J. Reinkensmeyer,et al. Using associative content-addressable memories to control robots , 1989, Proceedings, 1989 International Conference on Robotics and Automation.
[31] Andrew W. Moore,et al. Some experiments in adaptive state-space robotics , 1989 .
[32] Christopher G. Atkeson,et al. Task-level robot learning: juggling a tennis ball more accurately , 1989, Proceedings, 1989 International Conference on Robotics and Automation.
[33] W. Thomas Miller,et al. Real-time application of neural networks for sensor-based control of robots with vision , 1989, IEEE Trans. Syst. Man Cybern..
[34] D. Michie. Personal models of rationality , 1990 .
[35] T Poggio,et al. Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks , 1990, Science.
[36] F. Frances Yao,et al. Computational Geometry , 1991, Handbook of Theoretical Computer Science, Volume A: Algorithms and Complexity.
[37] Richard W. Longman,et al. Recent developments in learning control and system identification for robots and structures , 1990 .
[38] Alan D. Christiansen,et al. Learning reliable manipulation strategies without initial physical models , 1990, Proceedings., IEEE International Conference on Robotics and Automation.
[39] Richard S. Sutton,et al. Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming , 1990, ML.
[40] John J. Grefenstette,et al. Explanations of Empirically Derived Reactive Plans , 1990, ML.
[41] Leslie Pack Kaelbling,et al. Learning Functions in k-DNF from Reinforcement , 1990, ML.
[42] Joachim Diederich. An Explanation Component for a Connectionist Inference System , 1990, ECAI.
[43] Andrew W. Moore,et al. Acquisition of Dynamic Control Knowledge for a Robotic Manipulator , 1990, ML.
[44] Peter Mowforth,et al. Learning by an autonomous agent in the pushing domain , 1991, Robotics Auton. Syst..
[45] Claude Sammut,et al. Controlling a Black-Box Simulation of a Spacecraft , 1991, AI Mag..