Arrow Research search
Back to ECAI

ECAI 2014

Landmarks in Oversubscription Planning

Conference Paper Accepted Paper Artificial Intelligence

Abstract

In the basic setup of oversubscription planning (OSP), the objective is to achieve an as valuable as possible subset of goals within a fixed allowance of the total action cost [32]. Continuing from the recent successes in exploiting logical goal-reachability landmarks in classical planning, we develop a framework for exploiting such landmarks in heuristic-search OSP. We show how standard landmarks of certain classical planning tasks can be compiled into the OSP task of interest, resulting in an equivalent OSP task with a lower budget, and thus with a smaller search space. We then show how such landmark-based task enrichment can be combined in a mutually stratifying way with the BFBB search used for OSP planning. Our empirical evaluation confirms the effectiveness of the proposed landmark-based budget reduction scheme.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
European Conference on Artificial Intelligence
Archive span
1982-2025
Indexed papers
5223
Paper id
109599232118364722
v2026.09.13