AAAI Publications, Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence

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The Importance of Selective Knowledge Transfer for Lifelong Learning
Eric Eaton, Terran Lane

Last modified: 2011-08-24

Abstract


As knowledge transfer research progresses from single transfer to lifelong learning scenarios, it becomes increasingly important to properly select the source knowledge that would best transfer to the target task. In this position paper, we describe our previous work on selective knowledge transfer and relate it to problems in lifelong learning. We also briefly discuss our ongoing work to develop lifelong learning methods capable of continual transfer between tasks and the incorporation of guidance from an expert human user.

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