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
Cooperative On-Ramp Merging Control of Connected and Automa..:
, In:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
,
Zhou, Shanxing
;
Zhuang, Weichao
;
Yin, Guodong
.. - p. 402-408 , 2022
Link:
https://doi.org/10.1109/ITSC55140.2022.9922173
RT T1
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
: T1
Cooperative On-Ramp Merging Control of Connected and Automated Vehicles: Distributed Multi-Agent Deep Reinforcement Learning Approach
UL https://suche.suub.uni-bremen.de/peid=ieee-9922173&Exemplar=1&LAN=DE A1 Zhou, Shanxing A1 Zhuang, Weichao A1 Yin, Guodong A1 Liu, Haoji A1 Qiu, Chunlong YR 2022 K1 Training K1 Road transportation K1 Energy consumption K1 Simulation K1 Merging K1 Reinforcement learning K1 Safety K1 Connected and Automated Vehicles (CAVs) K1 On-Ramp Merging K1 Distributed Architecture K1 Multi-Agent Deep Reinforcement Learning SP 402 OP 408 LK http://dx.doi.org/https://doi.org/10.1109/ITSC55140.2022.9922173 DO https://doi.org/10.1109/ITSC55140.2022.9922173 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)