Classifier Fitness Based on Accuracy

@article{Wilson1995ClassifierFB,
  title={Classifier Fitness Based on Accuracy},
  author={S. Wilson},
  journal={Evolutionary Computation},
  year={1995},
  volume={3},
  pages={149-175}
}
  • S. Wilson
  • Published 1995
  • Mathematics, Computer Science
  • Evolutionary Computation
  • In many classifier systems, the classifier strength parameter serves as a predictor of future payoff and as the classifier's fitness for the genetic algorithm. [...] Key Result Besides introducing a new direction for classifier system research, these properties of XCS make it suitable for a wide range of reinforcement learning situations where generalization over states is desirable.Expand Abstract
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