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h m (P ) = h 1 (P m ): Alternative characterisations of the generalisation from h max to h m

By Patrik Haslum


The h m (m = 1,...) family of admissible heuristics for STRIPS planning with additive costs generalise the h max heuristic, which results when m = 1. We show that the step from h 1 to h m can be made by changing the planning problem instead of the heuristic function. This furthers our understanding of the h m heuristic, and may inspire application of the same generalisation to admissible heuristics stronger than h max. As an example, we show how it applies to the additive variant of h m obtained via cost splitting

Year: 2009
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