Getting the most out of pattern databases for classical planning

IJCAI, pp. 2357-2364, 2013.

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Abstract:

The iPDB procedure by Haslum et al. is the state-of-the-art method for computing additive abstraction heuristics for domain-independent planning. It performs a hill-climbing search in the space of pattern collections, combining information from multiple patterns in the so-called canonical heuristic. We show how stronger heuristic estimate...More

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