Learning Sequential Decision Rules Using Simulation Models and Competition
暂无分享,去创建一个
John J. Grefenstette | Alan C. Schultz | Connie Loggia Ramsey | C. L. Ramsey | J. Grefenstette | A. Schultz
[1] Arthur L. Samuel,et al. Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..
[2] Stephen F. Smith,et al. A learning system based on genetic adaptive algorithms , 1980 .
[3] John H. Holland,et al. Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems , 1995 .
[4] John H. Holland,et al. Empirical studies of default hierarchies and sequences of rules in learning classifier systems , 1988 .
[5] Rajarshi Das,et al. A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization , 1989, ICGA.
[6] John J. Grefenstette,et al. Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[7] Arthur L. Samuel,et al. Some studies in machine learning using the game of checkers , 2000, IBM J. Res. Dev..
[8] David Chapman,et al. Pengi: An Implementation of a Theory of Activity , 1987, AAAI.
[9] Kenneth Alan De Jong,et al. An analysis of the behavior of a class of genetic adaptive systems. , 1975 .
[10] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[11] John J. Grefenstette,et al. Credit assignment in rule discovery systems based on genetic algorithms , 1988, Machine Learning.
[12] Riva Wenig Bickel,et al. Tree Structured Rules in Genetic Algorithms , 1987, ICGA.
[13] John J. Grefenstette,et al. Explanations of Empirically Derived Reactive Plans , 1990, ML.
[14] John Dickinson,et al. Using the Genetic Algorithm to Generate LISP Source Code to Solve the Prisoner's Dilemma , 1987, ICGA.
[15] Richard S. Sutton,et al. Training and Tracking in Robotics , 1985, IJCAI.
[16] Lawrence Davis,et al. Adapting Operator Probabilities in Genetic Algorithms , 1989, ICGA.
[17] John J. Grefenstette,et al. How Genetic Algorithms Work: A Critical Look at Implicit Parallelism , 1989, ICGA.
[18] Nichael Lynn Cramer,et al. A Representation for the Adaptive Generation of Simple Sequential Programs , 1985, ICGA.
[19] John R. Koza,et al. Hierarchical Genetic Algorithms Operating on Populations of Computer Programs , 1989, IJCAI.
[20] Kenneth D. Forbus. Qualitative Process Theory , 1984, Artificial Intelligence.
[21] Lashon B. Booker,et al. Intelligent Behavior as an Adaptation to the Task Environment , 1982 .
[22] Jan M. Zytkow,et al. Utilizing Experience for Improving the Tactical Manager , 1988, ML.
[23] Hendrik James Antonisse,et al. Genetic Operators for High-Level Knowledge Representations , 1987, ICGA.
[24] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[25] Stewart W. Wilson. Classifier Systems and the Animat Problem , 1987, Machine Learning.
[26] L. Booker. Classifier Systems that Learn Internal World Models , 2005, Machine Learning.
[27] Pat Langley,et al. Learning Effective Search Heuristics , 1983, IJCAI.
[28] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[29] Tom M. Mitchell,et al. LEAP: A Learning Apprentice for VLSI Design , 1985, IJCAI.
[30] Bruce G. Buchanan,et al. Simulation-Assisted Inductive Learning , 1988, AAAI.
[31] Richard S. Sutton,et al. Learning and Sequential Decision Making , 1989 .
[32] Lashon B. Booker,et al. Improving the Performance of Genetic Algorithms in Classifier Systems , 1985, ICGA.
[33] John J. Grefenstette,et al. Genetic algorithms in noisy environments , 1988, Machine Learning.
[34] Ryszard S. Michalski,et al. A theory and methodology of inductive learning , 1993 .
[35] Stewart W. Wilson. Knowledge Growth in an Artificial Animal , 1985, ICGA.
[36] David E. Goldberg,et al. Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding , 1990, Machine Learning.