Machine learning for autonomous robots

Autor(en): Riedmiller, M
Herausgeber: Biundo, S
Fruhwirth, T
Palm, G
Stichwörter: Computer Science; Computer Science, Artificial Intelligence
Erscheinungsdatum: 2004
Herausgeber: SPRINGER-VERLAG BERLIN
Journal: KI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
LECTURE NOTES IN COMPUTER SCIENCE
Volumen: 3238
Startseite: 52
Seitenende: 55
Zusammenfassung: 
Although Reinforcement Learning methods have meanwhile been successfully applied to a wide range of different application scenarios, there is still a lack of methods that would allow the direct application of reinforcement learning to real systems. The key capability of such learning systems is the efficency with respect to the number of interactions with the real system. Several examples are given that illustrate recent progress made in that direction.
Beschreibung: 
27th Annual German Conference on Artificial Intelligence, Ulm, GERMANY, SEP 20-24, 2004
ISBN: 9783540231660
ISSN: 03029743

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