Feature Reinforcement Learning: State of the Art

dc.contributor.authorDaswani, Mayank
dc.contributor.authorSunehag, Peter
dc.contributor.authorHutter, Marcus
dc.coverage.spatialQuebec Canada
dc.date.accessioned2015-12-10T22:43:41Z
dc.date.createdJuly 27-31 2014
dc.date.issued2014
dc.date.updated2016-02-24T10:33:51Z
dc.identifier.isbn9781577356776
dc.identifier.urihttp://hdl.handle.net/1885/58268
dc.publisherAAAI Press
dc.relation.ispartofseries28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014
dc.rightsCopyright Information: © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). Author can archive publisher’s version/PDF. http://www.aaai.org/ocs/index.php/AAAI/AAAI12/about/submissions#copyrightNotice as at 17/08/2015
dc.sourceSequential Decision-Making with Big Data: Papers from the AAAI-14 Workshop
dc.titleFeature Reinforcement Learning: State of the Art
dc.typeConference paper
local.bibliographicCitation.lastpage5
local.bibliographicCitation.startpage2
local.contributor.affiliationDaswani, Mayank, College of Engineering and Computer Science, ANU
local.contributor.affiliationSunehag, Peter, College of Engineering and Computer Science, ANU
local.contributor.affiliationHutter, Marcus, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4332944@anu.edu.au
local.contributor.authoruidDaswani, Mayank, u4332944
local.contributor.authoruidSunehag, Peter, u4753099
local.contributor.authoruidHutter, Marcus, u4350841
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4056230xPUB435
local.identifier.uidSubmittedByu4056230
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
01_Daswani_Feature_Reinforcement_2014.pdf
Size:
499.87 KB
Format:
Adobe Portable Document Format
Back to topicon-arrow-up-solid
 
APRU
IARU
 
edX
Group of Eight Member

Acknowledgement of Country

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.


Contact ANUCopyrightDisclaimerPrivacyFreedom of Information

+61 2 6125 5111 The Australian National University, Canberra

TEQSA Provider ID: PRV12002 (Australian University) CRICOS Provider Code: 00120C ABN: 52 234 063 906