Towards Real Learning Robots: v. 33 (European University Studies, Series 41: Computer Science) - Softcover

Hailu, Getachew

Softcover

ISBN 10: 3631359608 ISBN 13: 9783631359600

Verlag: Peter Lang, 2000

Inhaltsangabe

Reinforcement learning, in a nutshell, is a form of learning that enables the robot to construct a control law by a system of feedback signals that reinforce «electrical path ways» that produce correct response, and conversely wipe-out connections that produce errors. Unfortunately, without biasing, it is a weak learning that presents unreasonable difficulty, especially when it is applied to real robots. The subject of this thesis is to study, for a particular class of problems, the effects of different form of biases on the speed of learning as well as on the quality of final learned policy, and to realize this learning paradigm on a physical robot by appropriately biasing the robot with domain knowledge that determines how much the robot knows about the different parts of its world.

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Biografía del autor:

The Author: Getachew Hailu was born in 1966 in Selalie. He received his M. Sc and B. Sc degrees in Electrical Engineering both from the Addis Ababa University (AAU). From 1990 to 1993 he was a Junior Associate at the Microprocessor Laboratory of the International Center for Theoretical Physics (ICTP), Trieste, Italy. From 1994 to 1995, he was a visiting researcher at Robotics Laboratory of the Toaki University, Kanagawa, Japan. From 1995 to 1999, he persued his Ph.D study in Computer Science at the University of Kiel, Germany.

Über diese Auflage

• Verlag: Peter Lang
• Erscheinungsdatum: 2000
• ISBN 10: 3631359608
• ISBN 13: 9783631359600
• Einband: Tapa blanda
• Anzahl der Seiten: 163