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
Interpretable Reinforcement Learning of Behavior Trees:
, In:
Proceedings of the 2023 15th International Conference on Machine Learning and Computing
,
Zhao, Chenjing
;
Deng, Chuanshuai
;
Liu, Zhenghui
... - p. 492-499 , 2023
Link:
https://dl.acm.org/doi/10.1145/3587716.3587798
RT T1
Proceedings of the 2023 15th International Conference on Machine Learning and Computing
: T1
Interpretable Reinforcement Learning of Behavior Trees
UL https://suche.suub.uni-bremen.de/peid=acm-3587798&Exemplar=1&LAN=DE A1 Zhao, Chenjing A1 Deng, Chuanshuai A1 Liu, Zhenghui A1 Zhang, Jiexin A1 Wu, Yunlong A1 Wang, Yanzhen A1 Yi, Xiaodong PB ACM YR 2023 K1 Behavior Trees K1 Interpretability K1 Reinforcement Learning K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Dynamic programming for Markov decision processes K1 Q-learning SP 492 OP 499 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3587716.3587798 DO https://dl.acm.org/doi/10.1145/3587716.3587798 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)