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
Efficient Exploration in Edge-Friendly Hyperdimensional Rei..:
, In:
Proceedings of the Great Lakes Symposium on VLSI 2024
,
Ni, Yang
;
Chung, William Y.
;
Cho, Samuel
.. - p. 111-118 , 2024
Link:
https://dl.acm.org/doi/10.1145/3649476.3658760
RT T1
Proceedings of the Great Lakes Symposium on VLSI 2024
: T1
Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=acm-3658760&Exemplar=1&LAN=DE A1 Ni, Yang A1 Chung, William Y. A1 Cho, Samuel A1 Zou, Zhuowen A1 Imani, Mohsen PB ACM YR 2024 K1 Agent Exploration K1 Brain-inspired Computing K1 Hyperdimensional Computing K1 Reinforcement Learning K1 Computing methodologies K1 Machine learning K1 Artificial intelligence K1 Distributed artificial intelligence K1 Intelligent agents K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems SP 111 OP 118 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3649476.3658760 DO https://dl.acm.org/doi/10.1145/3649476.3658760 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)