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Critical Path Heuristics.pdf

po-f02-handout4.pdf
Preview of Critical Path Heuristics
🔗 Source: ai.dmi.unibas.ch
📊 Size: 190 KB
👤 Author: Malte Helmert and Gabriele Röger
⬇️ Downloads: 108

Summary

F2. Critical Path Heuristics: Properties and Πm Compilation discusses heuristic properties and Πm compilation in the context of planning and optimization. Heuristic properties include being safe, goal-aware, consistent, and admissible. The hm heuristic is defined for both forward and backward search and is better suited for backward search. Theorem proofs show that hm is a safe, goal-aware, consistent, and admissible heuristic, and that for a sufficiently large m, hm equals the optimal heuristic r∗. Πm compilation derives a task Πm from the original task Π, where hm corresponds to the cost of a critical path in the relaxed task graph of Πm. The idea of Πm compilation is to use meta-variables to capture interactions between variables, and the definition of Πm is provided. Theorem proofs demonstrate the relationship between hm and hmax in Πm.

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Description

F2. Critical Path Heuristics: Properties and Πm Compilation discusses heuristic properties and Πm compilation in the context of planning and optimization.

Technical Information

  • File Format: PDF
  • File Size: 190 KB
  • Pages: 7
  • Language: EN
  • Author: Malte Helmert and Gabriele Röger
  • Total Downloads: 108
  • Last Updated: 5 hours ago

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This PDF document about Critical Path Heuristics provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Critical Path Heuristics.

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