Model-Based Robot Learning

dc.creator	Atkeson, Christopher G.
dc.creator	Aboaf, Eric W.
dc.creator	McIntyre, Joseph
dc.creator	Reinkensmeyer, David J.
dc.date	2004-10-04T14:36:56Z
dc.date	2004-10-04T14:36:56Z
dc.date	1988-04-01
dc.date.accessioned	2013-10-09T02:42:34Z
dc.date.available	2013-10-09T02:42:34Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1024
dc.identifier	http://hdl.handle.net/1721.1/6050
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Models play an important role in learning from practice. Models of a controlled system can be used as learning operators to refine commands on the basis of performance errors. The examples used to demonstrate this include positioning a limb at a visual target and following a defined trajectory. Better models lead to faster correction of command errors, requiring less practice to attain a given level of performance. The benefits of accurate modeling are improved performance in all aspects of control, while the risks of inadequate modeling are poor learning performance, or even degradation of performance with practice.
dc.format	9 p.
dc.format	2422777 bytes
dc.format	885654 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1024
dc.title	Model-Based Robot Learning

Files in this item

Files	Size	Format	View
There are no files associated with this item.