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JMLR 2006

Learning Recursive Control Programs from Problem Solving

Journal Article Articles Artificial Intelligence ยท Machine Learning

Abstract

In this paper, we propose a new representation for physical control -- teleoreactive logic programs -- along with an interpreter that uses them to achieve goals. In addition, we present a new learning method that acquires recursive forms of these structures from traces of successful problem solving. We report experiments in three different domains that demonstrate the generality of this approach. In closing, we review related work on learning complex skills and discuss directions for future research on this topic. [abs] [ pdf ][ bib ] &copy JMLR 2006. ( edit, beta )

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Context

Venue
Journal of Machine Learning Research
Archive span
2000-2026
Indexed papers
4180
Paper id
593975151280178412
v2026.09.13