IJCAI 2009
Abstract
Planning landmarks are facts that must be true at some point in every solution plan. Previous work has very successfully exploited planning landmarks in satisficing (non-optimal) planning. We propose a methodology for deriving admissible heuristic estimates for cost-optimal planning from a set of planning landmarks. The resulting heuristics fall into a novel class of multi-path dependent heuristics, and we present a simple best-first search procedure exploiting such heuristics. Our empirical evaluation shows that this framework favorably competes with the state-of-the-art of cost-optimal heuristic search.
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Context
- Venue
- International Joint Conference on Artificial Intelligence
- Archive span
- 1969-2025
- Indexed papers
- 14525
- Paper id
- 51089986745175697