Abstract

Abstract Planning by Rewriting (PbR) is a new paradigm for efficient high-quality plavning that exploits plan rewriting rules and etficiel, t local search techniques to tran~ form an easy-to-generate, but possibly suboptimal, initial plan into a high-quality plan. Dcspitc the advantages of PbR in terms of scalability, plan quality, and anytime behavior, PbR requires the user to define a set of domain-specific plan rewriting rules which can be difficult and time-consuming. This paper presents an approach to automatically learning the plaal rewriting rules based on comparing initial aJId oI>-timai plans. We report results for several pla~ nning domains showing that the learned rules are competitive with manually-specified ones, amd in several cases the lear. n~ g zdgoritkm discovered novel rewriting rules.

Date

October 8, 2025

Authors

Josd Luis Ambite, Craig A Knoblock, Steven Minton

Journal

parameters

Volume

10

Pages

7Y