Learning Approximate Control Rules of High Utility

@inproceedings{Cohen1990LearningAC,
  title={Learning Approximate Control Rules of High Utility},
  author={William W. Cohen},
  booktitle={ML},
  year={1990}
}
Abstract One of the difficult problems in the area of explanation based learning is the utility problem; learning too many rules of low utility can lead to swamping, or degradation of performance. This paper introduces two new techniques for improving the utility of learned rules. The first technique is to combine EBL with inductive learning techniques to learn a better set of control rules; the second technique is to use these inductive techniques to learn approximate control rules. The two… CONTINUE READING

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