Open Research

Fast online policy gradient learning with SMD gain vector adaptation

dc.contributor.author	Schraudolph, Nicol
dc.contributor.author	Yu, Jin
dc.contributor.author	Aberdeen, Douglas
dc.coverage.spatial	Vancouver Canada
dc.date.accessioned	2015-12-07T22:28:08Z
dc.date.created	December 5-8 2005
dc.identifier.isbn	0262232537
dc.identifier.uri	http://hdl.handle.net/1885/22241
dc.publisher	MIT Press
dc.relation.ispartofseries	Conference on Advances in Neural Information Processing Systems (NIPS 2005)
dc.source	Advances in Neural Information Processing Systems 18
dc.source.uri	http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=11017
dc.title	Fast online policy gradient learning with SMD gain vector adaptation
dc.type	Conference paper
local.description.notes	Imported from ARIES
local.description.refereed	Yes
dc.date.issued	2006
local.identifier.absfor	080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublication	u8803936xPUB20
local.type.status	Published Version
local.contributor.affiliation	Schraudolph, Nicol, College of Engineering and Computer Science, ANU
local.contributor.affiliation	Yu, Jin, College of Engineering and Computer Science, ANU
local.contributor.affiliation	Aberdeen, Douglas, College of Engineering and Computer Science, ANU
local.description.embargo	2037-12-31
local.bibliographicCitation.startpage	1185
local.bibliographicCitation.lastpage	1192
dc.date.updated	2015-12-07T10:00:44Z
Collections	ANU Research Publications

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