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Progress in deep learning highlights the tremendous potential of utilizing diverse robotic datasets for attaining effective generalization and makes it enticing to consider leveraging broad datasets for attaining robust generalization in robotic learning as well.
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Group normalization
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Language models are few-shot learners
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Masked autoencoders are scalable vision learners. arxiv. 2021 doi: 10.48550
K He, X Chen, S Xie, Y Li, P Dollár, and RB Girshick · 2021
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What matters in learning from offline human demonstrations for robot manipulation
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Offline meta-reinforcement learning with online self-supervision
Vitchyr H Pong, Ashvin Nair, Laura Smith, Catherine Huang, and Sergey Levine · 2021
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