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ECAI 2012

A Stubborn Set Algorithm for Optimal Planning

Conference Paper ECAI Short Papers Artificial Intelligence

Abstract

We adapt a partial order reduction technique based on stubborn sets, originally proposed for detecting dead ends in Petri Nets, to the setting of optimal planning. We demonstrate that stubborn sets can provide significant state space reductions on standard planning benchmarks, outperforming the expansion core method.

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Context

Venue
European Conference on Artificial Intelligence
Archive span
1982-2025
Indexed papers
5223
Paper id
124002968182483755