Fast Planning Through Planning Graph Analysis.

Abstract

We introduce a new approach to planning in STRIP S-like domains based on constructing and analyzing a compact structure we call a Planning Graph. We describe a new planner, Graphplan, that uses this paradigm. Graphplan always returns a shortest-possible partial-order plan, or states that no valid plan exists. We provide empirical evidence in favor of this approach, showing that Graphplan outperforms the total-order planner, Prodigy, and the partial-order planner, UCPOP, on a variety of interesting natural and artificial planning problems. We also give empirical evidence that the plans produced by Graphplan are quite sensible. Since searches made by this approach are fundamentally different from the searches of other common planning methods, they provide a new perspective on the planning problem. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA303260

Entities

People

  • Avrim L. Blum
  • Merrick L. Furst

Organizations

  • Carnegie Mellon University

Tags

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  • Air Force
  • Algorithms
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Fields of Study

  • Physics

Readers

  • Artificial Intelligence
  • Software Verification and Validation.