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Cost-Optimal Planning with Landmarks

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Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1728-1732.

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.Erez Karpas, Carmel Domshlak

Erez Karpas, and Carmel Domshlak. 2009. Cost-Optimal Planning with Landmarks. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09. IJCAI, 1728–1732. https://ijcai.org/proceedings/2009/288
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