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FLAIRS
2004

Using Previous Experience for Learning Planning Control Knowledge

8 years 6 months ago
Using Previous Experience for Learning Planning Control Knowledge
Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained by other means. The aim of this paper is to determine experimentally the influence of using such previous experience or prior knowledge (PK), so that the learning process is improved. In particular, we study three different ways of getting such experience: from a human, from another planner (called FF), and from a different ML technique. This previous experience has been supplied to two different ML techniques: a deductive-inductive system (hamlet) and a genetic-based one (evock).
Susana Fernández, Ricardo Aler, Daniel Borr
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where FLAIRS
Authors Susana Fernández, Ricardo Aler, Daniel Borrajo
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