Landmarks In Oversubscription Planning

ECAI'14: Proceedings of the Twenty-first European Conference on Artificial Intelligence(2014)

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摘要
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.
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