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dc.contributor.author Lipovetzky, Nir
dc.contributor.author Geffner, Héctor
dc.date.accessioned 2019-05-23T08:59:06Z
dc.date.available 2019-05-23T08:59:06Z
dc.date.issued 2011
dc.identifier.citation Lipovetzky N, Geffner H. Searching for plans with carefully designed probes. In: Proceedings of the Twenty-First International Conference on Automated Planning and Scheduling; 2011 Jun 11-16 2011; Freiburg, Germany. Palo Alto: AAAI Press; 2011. p. 154-61.
dc.identifier.uri http://hdl.handle.net/10230/37276
dc.description Comunicació presentada a: 21st International Conference on Automated Planning and Scheduling (ICAPS) celebrada de l'11 al 16 de juny de 2011 a Freiburg, Alemanya.
dc.description.abstract We define a probe to be a single action sequence computedgreedily from a given state that either terminates in the goalor fails. We show that by designing these probes carefullyusing a number of existing and new polynomial techniquessuch as helpful actions, landmarks, commitments, and con-sistent subgoals, a single probe from the initial state solvesby itself 683 out of 980 problems from previous IPCs, a num-ber that compares well with the 627 problems solved by FFin EHC mode, with similar times and plan lengths. We alsoshow that by launching one probe from each expanded statein a standard greedy best first search informed by the addi-tive heuristic, the number of problems solved jumps to 900(92%), as opposed to FF that solves 827 problems (84%),and LAMA that solves 879 (89%). The success of probessuggests that many domains can be solved easily once a suit-able serialization of the landmarks is found, an observationthat may open new connections between recent work in plan-ning and more classical work concerning goal serializationand problem decomposition in planning and search.
dc.description.sponsorship This work is partially supported by grants TIN2009-10232, MICINN, Spain, and EC-7PM-SpaceBook.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Association for the Advancement of Artificial Intelligence (AAAI)
dc.relation.ispartof Proceedings of the Twenty-First International Conference on Automated Planning and Scheduling; 2011 Jun 11-16 2011; Freiburg, Germany. Palo Alto: AAAI Press; 2011.
dc.rights © 2011, Association for the Advancement of Artificial Intelligence (www.aaai.org)
dc.title Searching for plans with carefully designed probes
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/270019
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2009-10232
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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