ECAI 2012
A Stubborn Set Algorithm for Optimal Planning
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.
Authors
Keywords
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Context
- Venue
- European Conference on Artificial Intelligence
- Archive span
- 1982-2025
- Indexed papers
- 5223
- Paper id
- 124002968182483755