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M. Fritzsche

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Open access Aug 2026

Domain-Abstraction Heuristics for Simple Numeric Planning

It is argued that domain abstractions offer a framework that lends itself much better to simple numeric planning, with abstract state spaces that are computed incrementally using counterexample-guided abstraction refinement (CEGAR), avoiding the exhaustive exploration of PDBs.

M. Fritzsche, Mikhail Gruntov, Alexander Shleyfman et al. · 0 citations

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