Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality

  • Authors:
  • Muhammad Afzal Upal;Renee Elio

  • Affiliations:
  • -;-

  • Venue:
  • AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2000

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Abstract

Domain independent planners can produce better-quality plans through the use of domain-specific knowledge, typically encoded as search control rules. The planning-by-rewriting approach has been proposed as an alternative technique for improving plan quality. We present a system that automatically learns plan rewriting rules and compare it with a system that automatically learns search control rules for partial order planners. Our results indicate that learning search control rules is a better choice than learning rewrite rules.