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Á. Torralba

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Open access Aug 2026

New Flaw Search Strategies in CEGAR for Cartesian Abstractions in Optimal Classical Planning

Background: Counterexample-Guided Abstraction Refinement (CEGAR) is a prominent technique to generate Cartesian abstractions for guiding search in cost-optimal planning. The core idea is to start from the trivial abstraction—an abstract state representing all concrete states—and iteratively refine it in a loop by split...

Martín Pozo, Á. Torralba, Carlos Linares López · 0 citations

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