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Data-Efficient Control Policy Search using Residual Dynamics Learning

Saveriano, Matteo and Yin, Yuchao and Falco, Pietro and Lee, Dongheui (2017) Data-Efficient Control Policy Search using Residual Dynamics Learning. In: IEEE International Conference on Intelligent Robots and Systems. IROS 2017, 2017-09-24 - 2017-09-28, Vancouver, Canada. doi: 10.1109/iros.2017.8206343.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/117916/
Document Type:Conference or Workshop Item (Speech)
Title:Data-Efficient Control Policy Search using Residual Dynamics Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Saveriano, MatteotumUNSPECIFIEDUNSPECIFIED
Yin, YuchaoTUMUNSPECIFIEDUNSPECIFIED
Falco, PietrotumUNSPECIFIEDUNSPECIFIED
Lee, DongheuiUNSPECIFIEDhttps://orcid.org/0000-0003-1897-7664UNSPECIFIED
Date:2017
Journal or Publication Title:IEEE International Conference on Intelligent Robots and Systems
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/iros.2017.8206343
Status:Published
Keywords:reinforcement learning, control policy, gaussian process, residual learning
Event Title:IROS 2017
Event Location:Vancouver, Canada
Event Type:international Conference
Event Start Date:24 September 2017
Event End Date:28 September 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Terrestrial Assistance Robotics (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013)
Deposited By: Lee, Prof. Dongheui
Deposited On:07 Jan 2018 22:38
Last Modified:07 Jun 2024 10:47

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