Learning Features and Abstract Actions for Computing Generalized Plans

national conference on artificial intelligence, 2019.

Cited by: 6|Bibtex|Views37
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Generalized planning is concerned with the computation of plans that solve not one but multiple instances of a planning domain. Recently, it has been shown that generalized plans can be expressed as mappings of feature values into actions, and that they can often be computed with fully observable non-deterministic (FOND) planners. The act...More

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