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Summary: Learning Plan Rewriting Rules
Jos'e Luis Ambite, Craig A. Knoblock & Steven Minton
Information Sciences Institute
University of Southern California
4676 Admiralty Way, Marina del Rey, CA 90292, USA
fambite, knoblock, mintong@isi.edu
Abstract
Planning by Rewriting (PbR) is a new paradigm for ef
ficient highquality planning that exploits plan rewrit
ing rules and efficient local search techniques to trans
form an easytogenerate, but possibly suboptimal,
initial plan into a highquality plan. Despite the ad
vantages of PbR in terms of scalability, plan qual
ity, and anytime behavior, PbR requires the user to
define a set of domainspecific plan rewriting rules
which can be difficult and timeconsuming. This pa
per presents an approach to automatically learning the
plan rewriting rules based on comparing initial and op
timal plans. We report results for several planning do
mains showing that the learned rules are competitive
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