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Meta-learning to find every needle in every haystack - The S
Meta-learning to find every needle in every haystack - The S
Meta-learning to find every needle in every haystack - The Source - Washington University in St. Louis
A visual active search tool developed by Nathan Jacobs, Anindya Sarkar and Yevgeniy Vorobeychik in the McKelvey School of Engineering at Washington University in St. Louis combines deep reinforcement learning with traditional active search methods.
Related Keywords
Yevgeniy Vorobeychik ,
Eugene Vorobeychik ,
Anindya Sarkar ,
Nathan Jacobs ,
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Mckelvey School ,
Washington University ,
Neural Information Processing Systems ,