Learned graphical models for probabilistic planning provide a new class of movement primitives

Elmar Rückert, Gerhard Neumann, Marc Toussaint, Wolfgang Maass

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Pages (from-to)1-20
JournalFrontiers in Computational Neuroscience
Volume6
DOIs
Publication statusPublished - 2013

Fields of Expertise

  • Sonstiges

Cite this

Learned graphical models for probabilistic planning provide a new class of movement primitives. / Rückert, Elmar; Neumann, Gerhard; Toussaint, Marc; Maass, Wolfgang.

In: Frontiers in Computational Neuroscience , Vol. 6, 2013, p. 1-20.

Research output: Contribution to journalArticleResearchpeer-review

@article{0fd8ebc3a5864744a05ec7e3e25fb758,
title = "Learned graphical models for probabilistic planning provide a new class of movement primitives",
author = "Elmar R{\"u}ckert and Gerhard Neumann and Marc Toussaint and Wolfgang Maass",
year = "2013",
doi = "10.3389/fncom.2012.00097",
language = "English",
volume = "6",
pages = "1--20",
journal = "Frontiers in Computational Neuroscience",
issn = "1662-5188",
publisher = "Frontiers Research Foundation",

}

TY - JOUR

T1 - Learned graphical models for probabilistic planning provide a new class of movement primitives

AU - Rückert, Elmar

AU - Neumann, Gerhard

AU - Toussaint, Marc

AU - Maass, Wolfgang

PY - 2013

Y1 - 2013

UR - http://www.frontiersin.org/Computational_Neuroscience/10.3389/fncom.2012.00097/abstract

UR - http://www.frontiersin.org/Computational_Neuroscience/10.3389/fncom.2012.00097/abstract

U2 - 10.3389/fncom.2012.00097

DO - 10.3389/fncom.2012.00097

M3 - Article

VL - 6

SP - 1

EP - 20

JO - Frontiers in Computational Neuroscience

JF - Frontiers in Computational Neuroscience

SN - 1662-5188

ER -