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Planning Optimization.pdf

po-d01-handout4.pdf
Preview of Planning Optimization
🔗 Source: ai.dmi.unibas.ch
📊 Size: 151 KB
👤 Author: Malte Helmert and Gabriele Röger
⬇️ Downloads: 334

Summary

D1 covers abstractions in planning and optimization, introducing the concept of abstraction mappings to simplify transition systems while preserving behavior, and using abstract goal distances as heuristic estimates. The 15-puzzle example illustrates abstraction, reducing the state space from approximately 2 10^13 to 5 10^8 states. Practical requirements for abstractions include efficient computability of abstract states and goal distances. Techniques like pattern database heuristics, merge-and-shrink abstractions, and Cartesian abstractions can achieve these requirements. Multiple abstractions can be combined by maximizing or adding individual heuristics to obtain a more informative heuristic.

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Description

D1 covers abstractions in planning and optimization, introducing the concept of abstraction mappings to simplify transition systems while preserving behavior,...

Technical Information

  • File Format: PDF
  • File Size: 151 KB
  • Pages: 7
  • Language: EN
  • Author: Malte Helmert and Gabriele Röger
  • Total Downloads: 334
  • Last Updated: 2 weeks ago

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

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