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
A Deep Reinforcement Learning Approach for Non-homogeneous ..:
, In:
2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)
,
Luis, Samuel Yanes
;
Reina, Daniel Gutierrez
;
Marin, Sergio Toral
- p. 92-98 , 2022
Link:
https://doi.org/10.1109/RAAI56146.2022.10092959
RT T1
2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)
: T1
A Deep Reinforcement Learning Approach for Non-homogeneous Patrolling using Wi-Fi Fleet-restricted Autonomous Vehicles
UL https://suche.suub.uni-bremen.de/peid=ieee-10092959&Exemplar=1&LAN=DE A1 Luis, Samuel Yanes A1 Reina, Daniel Gutierrez A1 Marin, Sergio Toral YR 2022 K1 Deep learning K1 Wireless communication K1 Q-learning K1 Surveillance K1 Routing protocols K1 Path planning K1 Planning K1 Deep-Reinforcement Learning K1 Patrolling K1 Multi-Agent K1 Wireless Communications SP 92 OP 98 LK http://dx.doi.org/https://doi.org/10.1109/RAAI56146.2022.10092959 DO https://doi.org/10.1109/RAAI56146.2022.10092959 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)