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AAAI 2011

Exploiting Path Refinement Abstraction in Domain Transition Graphs

Conference Paper Papers Artificial Intelligence

Abstract

Partial Refinement A-Star (PRA ) is an abstraction technique, based on clustering nearby nodes in graphs, useful in large path-planning problems. Abstracting the underlying graph yields a simpler problem whose solution can be used, by refinement, as a guide to a solution to the original problem. A fruitful way to view domain independent planning problems is as a collection of multi-valued variables that must perform synchronised transitions through graphs of possible values, where the edges are defined by the domain actions. Planning involves finding efficient paths through Domain Transition Graphs (DTGs). In problems where these graphs are large, planning can be prohibitively expensive. In this paper we explore two ways to exploit PRA in DTGs.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
286754672789177749