L. Torrey, J. Shavlik, T. Walker & R. Maclin (2008).
Rule Extraction for Transfer Learning. In J. Diederich, editor, Rule Extraction from Support Vector Machines, pp. 67-82. Springer.
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This chapter discusses transfer learning, which is one practical application of rule extraction. In transfer learning, information from one learning experience is applied to speed up learning in a related task. The chapter describes several techniques for transfer learning in SVM-based reinforcement learning, and shows results from a case study.