Publication | Open Access
Landmarks, Critical Paths and Abstractions: What's the Difference Anyway?
394
Citations
20
References
2009
Year
Artificial IntelligenceMathematical ProgrammingCritical PathsEngineeringComputational ComplexitySocial SciencesCurrent Heuristic EstimatorsOperations ResearchSystems EngineeringCombinatorial OptimizationMechanism DesignCartographyCognitive ScienceComputer SciencePlanning TheoryArchitectural DesignAdmissible HeuristicsHeuristic (Computer Science)Ai PlanningHeuristic PlanningLandmark Cut HeuristicSpatial CognitionPlanningHeuristic Search
Current heuristic estimators for classical domain-independent planning are usually based on one of four ideas: delete relaxations, critical paths, abstractions, and, most recently, landmarks. Previously, these different ideas for deriving heuristic functions were largely unconnected.We prove that admissible heuristics based on these ideas are in fact very closely related. Exploiting this relationship, we introduce a new admissible heuristic called the landmark cut heuristic, which compares favourably with the state of the art in terms of heuristic accuracy and overall performance.
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