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ICCBR
2009
Springer

Case-Based Reasoning in Transfer Learning

13 years 10 months ago
Case-Based Reasoning in Transfer Learning
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performance and/or learning on a different (target) task. TL methods are typically complex, and case-based reasoning can support them in multiple ways. We introduce a method for recognizing intent in a source task, and then applying that knowledge to improve the performance of a case-based reinforcement learner in a target task. We report on its ability to significantly outperform baseline approaches for a control task in a simulated game of American football. We also compare our approach to an alternative approach where source and target task learning occur concurrently, and discuss the tradeoffs between them.
David W. Aha, Matthew Molineaux, Gita Sukthankar
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICCBR
Authors David W. Aha, Matthew Molineaux, Gita Sukthankar
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