Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

international conference on robotics and automation, 2018.

Cited by: 86|Bibtex|Views210|DOI:https://doi.org/10.1109/icra.2018.8460689
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

In this work, we propose a novel robot learning framework called Neural Task Programming (NTP), which bridges the idea of few-shot learning from demonstration and neural program induction. NTP takes as input a task specification (e.g., video demonstration of a task) and recursively decomposes it into finer sub-task specifications. These s...More

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