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Landmarks & Heuristics.pdf

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Preview of Landmarks & Heuristics
🔗 Source: ai.dmi.unibas.ch
📊 Size: 396 KB
👤 Author: Malte Helmert and Gabriele Röger
⬇️ Downloads: 70

Summary

Landmarks are used in planning and optimization to derive heuristic estimates, with two types considered: fact landmarks (atomic propositions that must hold in every solution) and disjunctive action landmarks (sets of operators that must be applied in every solution). Landmarks can be computed from the relaxed task graph, including incidental and causal landmarks, with causal landmarks being the most desirable. A simplified version of the relaxed task graph can be used to compute causal landmarks for STRIPS planning tasks.

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Description

Landmarks are used in planning and optimization to derive heuristic estimates, with two types considered: fact landmarks (atomic propositions that must hold in...

Technical Information

  • File Format: PDF
  • File Size: 396 KB
  • Pages: 9
  • Language: EN
  • Author: Malte Helmert and Gabriele Röger
  • Total Downloads: 70
  • Last Updated: 9 hours ago

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

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