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DmpBbo: A versatile Python/C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization

Stulp, Freek and Raiola, Gennaro (2019) DmpBbo: A versatile Python/C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization. Journal of Open Source Software, 4 (37). doi: 10.21105/joss.01225. ISSN 2475-9066.

Full text not available from this repository.

Official URL: https://joss.theoj.org/papers/10.21105/joss.01225

Abstract

Dynamical movement primitives (DMPs) are one of the most popular representations for goal-directed motion primitives in robotics. They are also often used as the policy representation for policy improvement in robotics, a particular form of reinforcement learning. dmpbbo provides five software modules for the representation and optimization of dynamical movement primitives.

Item URL in elib:https://elib.dlr.de/136060/
Document Type:Article
Title:DmpBbo: A versatile Python/C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stulp, FreekUNSPECIFIEDhttps://orcid.org/0000-0001-9555-9517UNSPECIFIED
Raiola, GennaroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:7 May 2019
Journal or Publication Title:Journal of Open Source Software
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:No
In ISI Web of Science:No
Volume:4
DOI:10.21105/joss.01225
ISSN:2475-9066
Status:Published
Keywords:robotics, motion primitives, reinforcement learning, open-source software
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 - Vorhaben Intelligente Mobilität (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Stulp, Freek
Deposited On:21 Sep 2020 11:24
Last Modified:21 Sep 2020 11:24

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