Learning Generalized Reactive Policies using Deep Neural Networks

A new approach to learning for planning, where knowledge acquired while solving a given set of planning problems is used to plan faster in related, but new problem instances.

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Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava (2024). Dataset: Learning Generalized Reactive Policies using Deep Neural Networks. https://doi.org/10.57702/j1f14pwb

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1708.07280
Author Edward Groshev
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Maxwell Goldstein
Aviv Tamar
Siddharth Srivastava
Homepage https://arxiv.org/abs/1704.01665