Fast online policy gradient learning with SMD gain vector adaptation

Simple item page
dc.contributor.authorSchraudolph, Nicol
dc.contributor.authorYu, Jin
dc.contributor.authorAberdeen, Douglas
dc.coverage.spatialVancouver Canada
dc.date.accessioned2015-12-07T22:28:08Z
dc.date.createdDecember 5-8 2005
dc.date.issued2006
dc.date.updated2015-12-07T10:00:44Z
dc.identifier.isbn0262232537
dc.identifier.urihttp://hdl.handle.net/1885/22241
dc.publisherMIT Press
dc.relation.ispartofseriesConference on Advances in Neural Information Processing Systems (NIPS 2005)
dc.sourceAdvances in Neural Information Processing Systems 18
dc.source.urihttp://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=11017
dc.titleFast online policy gradient learning with SMD gain vector adaptation
dc.typeConference paper
local.bibliographicCitation.lastpage1192
local.bibliographicCitation.startpage1185
local.contributor.affiliationSchraudolph, Nicol, College of Engineering and Computer Science, ANU
local.contributor.affiliationYu, Jin, College of Engineering and Computer Science, ANU
local.contributor.affiliationAberdeen, Douglas, College of Engineering and Computer Science, ANU
local.contributor.authoremailrepository.admin@anu.edu.au
local.contributor.authoruidSchraudolph, Nicol, a205905
local.contributor.authoruidYu, Jin, u4237931
local.contributor.authoruidAberdeen, Douglas, u9618253
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB20
local.identifier.uidSubmittedByu8803936
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
01_Schraudolph_Fast_online_policy_gradient_2006.pdf
Size:
472.58 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2024 LYRASIS