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
Design of Cooperative Interaction between Humans and AI Cre..:
, In:
Proceedings of the 7th International Conference on Human-Agent Interaction
,
Takata, Ryosuke
;
Takeuchi, Yugo
- p. 220-222 , 2019
Link:
https://dl.acm.org/doi/10.1145/3349537.3352771
RT T1 <cTitle>Proceedings of the 7th International Conference on Human-Agent Interaction</cTitle>: T1 <Title>Design of Cooperative Interaction between Humans and AI Creatures through Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3352771&Exemplar=1&LAN=DE A1 Takata, Ryosuke A1 Takeuchi, Yugo PB ACM YR 2019 K1 cooperation K1 intention understanding K1 reinforcement learning K1 Human-centered computing K1 Collaborative and social computing K1 Collaborative and social computing theory, concepts and paradigms K1 Computer supported cooperative work K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Multi-agent reinforcement learning SP 220 OP 222 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3349537.3352771 DO https://dl.acm.org/doi/10.1145/3349537.3352771 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
