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Learning Fast Quadruped Robot Gaits with the RL PoWER Spline Parameterization Cover

Learning Fast Quadruped Robot Gaits with the RL PoWER Spline Parameterization

Cybernetics and Information Technologies
Volume 12 (2012): Issue 3 (September 2012)
By: Haocheng Shen,  Jason Yosinski,  Petar Kormushev,  Darwin G. Caldwell and  Hod Lipson  
Open Access
|Mar 2013
Authors

Authors

Haocheng Shen

hs454@cornell.edu

Jason Yosinski

yosinski@cs.cornell.edu

Petar Kormushev

Petar.Kormushev@iit.it

Darwin G. Caldwell

Hod Lipson

DOI: https://doi.org/10.2478/cait-2012-0022 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 66 - 75
Published on: Mar 22, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Evolvable splines,
parameterized gaits,
HyperNEAT,
machine learning,
quadruped
Related subjects:
Computer sciences,
Information technology

© 2013 Haocheng Shen, Jason Yosinski, Petar Kormushev, Darwin G. Caldwell, Hod Lipson, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.

Volume 12 (2012): Issue 3 (September 2012)
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