Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Explore
Search
Special collections
Statistics
News
Help
Start on ORBi
Deposit
Profile
Publication List
Add your ORCID
Tutorials
Legal Information
Training sessions
About
What's ORBi ?
Impact and visibility
Around ORBi
About statistics
About metrics
OAI-PMH
ORBi team
Release Notes
Back
Home
Detailled Reference
Download
Paper published in a book (Scientific congresses and symposiums)
Variable selection for dynamic treatment regimes: a reinforcement learning approach
Fonteneau, Raphaël
;
Wehenkel, Louis
;
Ernst, Damien
2008
•
In
The annual machine learning conference of Belgium and the Netherlands (BeNeLearn 2008)
Peer reviewed
Permalink
https://hdl.handle.net/2268/161638
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
abstractBenelearn2008_02.pdf
Author postprint (69.73 kB)
Download
All documents in ORBi are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Keywords :
Reinforcement Learning; Variable Selection; Dynamic Treatment Regimes
Disciplines :
Computer science
Author, co-author :
Fonteneau, Raphaël
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Wehenkel, Louis
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Ernst, Damien
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Language :
English
Title :
Variable selection for dynamic treatment regimes: a reinforcement learning approach
Publication date :
May 2008
Event name :
The annual machine learning conference of Belgium and the Netherlands (BeNeLearn 2008)
Event place :
Spa, Belgium
Event date :
May 12-13, 2008
Audience :
International
Main work title :
The annual machine learning conference of Belgium and the Netherlands (BeNeLearn 2008)
Peer reviewed :
Peer reviewed
Available on ORBi :
since 20 January 2014
Statistics
Number of views
57 (3 by ULiège)
Number of downloads
93 (3 by ULiège)
More statistics
Bibliography
Similar publications
Contact ORBi