elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

PI-REM: Policy Improvement with REsidual Model learning

Saveriano, Matteo and Lee, Dongheui (2017) PI-REM: Policy Improvement with REsidual Model learning. International Workshop on Human-Friendly Robotics, Italy.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/117917/
Document Type:Conference or Workshop Item (Speech)
Title:PI-REM: Policy Improvement with REsidual Model learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Saveriano, MatteoTUMUNSPECIFIEDUNSPECIFIED
Lee, DongheuiUNSPECIFIEDhttps://orcid.org/0000-0003-1897-7664UNSPECIFIED
Date:2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:reinforcement learning
Event Title:International Workshop on Human-Friendly Robotics
Event Location:Italy
Event Type:Workshop
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 22:39
Last Modified:07 Jan 2018 22:39

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.