MACHINE LEARNING USING MODULAR SOLUTION DATASETS
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United States of America
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Feb 24, 2022
app pub date -
Aug 20, 2020
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Aug 20, 2020
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Abstract
A framework for offline learning from a set of diverse and suboptimal demonstrations operates by selectively imitating local sequences from the dataset. At least one embodiment recovers performant policies from large manipulation datasets by decomposing the problem into a goal-conditioned imitation and a high-level goal selection mechanism.
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