Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Minimal Landmarks for Optimal Delete-Free Planning.

Loading...
Thumbnail Image

Date

Authors

Haslum, Patrik
Slaney, John K.
Thiébaux, Sylvie

Journal Title

Journal ISSN

Volume Title

Publisher

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

We present a simple and efficient algorithm to solve deletefree planning problems optimally and calculate the h + heuristic. The algorithm efficiently computes a minimum-cost hitting set for a complete set of disjunctive action landmarks generated on the fly. Unlike other recent approaches, the landmarks it generates are guaranteed to be set-inclusion minimal. In almost all delete-relaxed IPC domains, this leads to a significant coverage and runtime improvement.

Description

Keywords

Citation

Source

Book Title

ICAPS

Entity type

Publication

Access Statement

License Rights

DOI

Restricted until