2006
JMLR
JMLR 2006
Learning Recursive Control Programs from Problem Solving
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 ] © JMLR 2006. (edit, beta)
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Interdisciplinary Bridge
— Artificial Intelligence and Reinforcement Learning
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Keyword Pioneer
— skill learning
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio