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Imperative learning: A self-supervised neuro-symbolic learning framework for robot autonomy

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The International Journal of Robotics Research

Published online on

Abstract

The International Journal of Robotics Research, Ahead of Print.
Data-driven methods such as reinforcement and imitation learning have achieved remarkable success in robot autonomy. However, their data-centric nature still hinders them from generalizing well to ever-changing environments. Moreover, labeling data for ...