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
Safety-informed mutations for evolutionary deep reinforceme..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Marchesini, Enrico
;
Amato, Christopher
- p. 1966-1970 , 2022
Link:
https://dl.acm.org/doi/10.1145/3520304.3533980
RT T1
Proceedings of the Genetic and Evolutionary Computation Conference Companion
: T1
Safety-informed mutations for evolutionary deep reinforcement learning
UL https://suche.suub.uni-bremen.de/peid=acm-3533980&Exemplar=1&LAN=DE A1 Marchesini, Enrico A1 Amato, Christopher PB ACM YR 2022 K1 deep K1 evolutionary algorithms K1 mutations K1 reinforcement learning K1 robotics K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Evolutionary robotics K1 Learning paradigms K1 Reinforcement learning SP 1966 OP 1970 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3520304.3533980 DO https://dl.acm.org/doi/10.1145/3520304.3533980 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)