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We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...

Lilyana Mihalkova, Raymond J. Mooney

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NIPS
2000

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Active Inference in Concept Learning

15 years 5 months ago

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Jonathan D. Nelson, Javier R. Movellan

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124

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TRECVID
2007

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TRECVID 2007: Collaborative Annotation using Active Learning

15 years 4 months ago

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Stéphane Ayache, Georges Quénot

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114

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MIR
2010
ACM

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Relevance filtering meets active learning: improving web-based concept detectors

15 years 3 months ago

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