InforLorV4, Main, Merge, bibRecord, 001A93

Semi-Relaxed Plan Heuristics

Identifieur interne : 001A93 ( Main/Merge ); précédent : 001A92; suivant : 001A94

Semi-Relaxed Plan Heuristics

Auteurs : Emil Keyder [France] ; Joerg Hoffmann [France] ; Patrik Haslum [Australie]

Source :

RBID : Hal:hal-00765025

Abstract

Heuristics based on the delete relaxation are at the forefront of modern domain-independent planning techniques. Here we introduce a principled and flexible technique for augmenting delete-relaxed tasks with a limited amount of delete information, by introducing special fluents that explicitly represent conjunctions of fluents in the original planning task. Differently from previous work in this direction, conditional effects are used to limit the growth of the task to be linear, rather than exponential, in the number of conjunctions that are introduced, making its use for obtaining heuristic functions feasible. We discuss how to obtain an informative set of conjunctions to be represented explicitly, and analyze and extend existing methods for relaxed planning in the presence of conditional effects. The resulting heuristics are empirically evaluated, and shown to be sometimes much more informative than standard delete-relaxation heuristics.

Url:

https://hal.inria.fr/hal-00765025

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to stream Hal, to step Corpus: 004502
to stream Hal, to step Curation: 004502
to stream Hal, to step Checkpoint: 001681

Links to Exploration step

Hal:hal-00765025

Le document en format XML

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<front><div type="abstract" xml:lang="en">Heuristics based on the delete relaxation are at the forefront of modern domain-independent planning techniques. Here we introduce a principled and flexible technique for augmenting delete-relaxed tasks with a limited amount of delete information, by introducing special fluents that explicitly represent conjunctions of fluents in the original planning task. Differently from previous work in this direction, conditional effects are used to limit the growth of the task to be linear, rather than exponential, in the number of conjunctions that are introduced, making its use for obtaining heuristic functions feasible. We discuss how to obtain an informative set of conjunctions to be represented explicitly, and analyze and extend existing methods for relaxed planning in the presence of conditional effects. The resulting heuristics are empirically evaluated, and shown to be sometimes much more informative than standard delete-relaxation heuristics.</div>
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Semi-Relaxed Plan Heuristics

Semi-Relaxed Plan Heuristics

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