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
Directing Policy Search with Interactively Taught Via-Point:
, In:
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
,
Schroecker, Yannick
;
Ben Amor, Heni
;
Thomaz, Andrea
- p. 1052-1059 , 2016
Link:
https://dl.acm.org/doi/10.5555/2936924.2937078
RT T1 <cTitle>Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems</cTitle>: T1 <Title>Directing Policy Search with Interactively Taught Via-Points</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2937078&Exemplar=1&LAN=DE A1 Schroecker, Yannick A1 Ben Amor, Heni A1 Thomaz, Andrea PB International Foundation for Autonomous Agents and Multiagent Systems YR 2016 K1 dynamic movement primitives K1 keyframe demonstrations K1 learning from demonstration K1 reinforcement learning K1 reinforcement learning for motor skills K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Robotics K1 Robotic control K1 Learning settings K1 Learning from demonstrations SP 1052 OP 1059 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/2936924.2937078 DO https://dl.acm.org/doi/10.5555/2936924.2937078 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
