A translation-based approach to contingent planning

  • Authors:
  • Alexandre Albore;Héctor Palacios;Héctor Geffner

  • Affiliations:
  • Universitat Pompeu Fabra, Barcelona, Spain;Universidad Simón Bolívar, Caracas, Venezuela;ICREA & Universitat Pompeu Fabra, Barcelona, Spain

  • Venue:
  • IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
  • Year:
  • 2009

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Abstract

The problem of planning in the presence of sensing has been addressed in recent years as a nondeterministic search problem in belief space. In this work, we use ideas advanced recently for compiling conformant problems into classical ones for introducing a different approach where contingent problems P are mapped into non-deterministic problems X(P) in state space. We also identify a contingent width parameter, and show that for problems P with bounded contingent width, the translation is sound, polynomial, and complete. We then solve X(P) by using a relaxation X+(P) that is a classical planning problem. The formulation is tested experimentally over contingent benchmarks where it is shown to yield a planner that scales up better than existing contingent planners.