Learning Generalized Reactive Policies using Deep Neural Networks

ICAPS, 2018.

Cited by: 35|Bibtex|Views32|Links
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Abstract:

We consider the problem of learning for planning, where knowledge acquired while planning is reused to plan faster in new problem instances. For robotic tasks, among others, plan execution can be captured as a sequence of visual images. For such domains, we propose to use deep neural networks in learning for planning, based on learning a ...More

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