I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Hands-on Reinforcement Learning for Recommender Systems - F..:
, In:
Proceedings of the 16th ACM Conference on Recommender Systems
,
Bergman, Christy D.
;
Hakhamaneshi, Kourosh
- p. 700-701 , 2022
Link:
https://dl.acm.org/doi/10.1145/3523227.3547370
RT T1
Proceedings of the 16th ACM Conference on Recommender Systems
: T1
Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib
UL https://suche.suub.uni-bremen.de/peid=acm-3547370&Exemplar=1&LAN=DE A1 Bergman, Christy D. A1 Hakhamaneshi, Kourosh PB ACM YR 2022 K1 RLlib K1 Recommender systems K1 Reinforcement learning K1 Computing methodologies K1 Distributed computing methodologies K1 Distributed algorithms K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Reinforcement learning K1 Machine learning K1 Learning settings K1 Batch learning SP 700 OP 701 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3523227.3547370 DO https://dl.acm.org/doi/10.1145/3523227.3547370 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)