Speeding up planning through minimal generalizations of partially ordered plans

  • Authors:
  • Radomír Černoch;Filip Železný

  • Affiliations:
  • Czech Technical University in Prague;Czech Technical University in Prague

  • Venue:
  • ILP'10 Proceedings of the 20th international conference on Inductive logic programming
  • Year:
  • 2010

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Abstract

We present a novel strategy enabling to exploit existing plans in solving new similar planning tasks by finding a common generalized core of the existing plans. For this purpose we develop an operator yielding a minimal joint generalization of two partially ordered plans. In three planning domains we show a substantial speed-up of planning achieved when the planner starts its search space exploration from the learned common generalized core, rather than from scratch.