Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
A reward scheme for production systems with overlapping conflict sets
IEEE Transactions on Systems, Man and Cybernetics
Genetic algorithms and classifier systems: foundations and future directions
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Multilevel credit assignment in a genetic learning system
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Technical Note: \cal Q-Learning
Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
The Bucket Brigade Is Not Genetic
Proceedings of the 1st International Conference on Genetic Algorithms
A Defense of the Bucket Brigade
Proceedings of the 3rd International Conference on Genetic Algorithms
Classifier fitness based on accuracy
Evolutionary Computation
Minimality of an automaton cascade decomposition for learning system environments
Journal of Computer and System Sciences
A probabilistic classifier system and its application in data mining
Evolutionary Computation
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces
Genetic Programming and Evolvable Machines
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We investigate classifier systems' reward schemes by way of an example that highlights the interaction of local reward schemes and recombination. We contrast averaging schemes and maximizing schemes. Our example illustrates a sense in which certain recombination operators mesh more gracefully with averaging schemes than with maximizing schemes.