Learning General Policies from Small Examples Without Supervision

Guillem Francès
Guillem Francès
Cited by: 0|Bibtex|Views2
Other Links: arxiv.org

Abstract:

Generalized planning is concerned with the computation of general policies that solve multiple instances of a planning domain all at once. It has been recently shown that these policies can be computed in two steps: first, a suitable abstraction in the form of a qualitative numerical planning problem (QNP) is learned from sample plans, ...More

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