Learning Motor Skills (Record no. 57231)

000 -LEADER
fixed length control field 03083nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-319-03194-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112051.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131123s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319031941
-- 978-3-319-03194-1
082 04 - CLASSIFICATION NUMBER
Call Number 629.892
100 1# - AUTHOR NAME
Author Kober, Jens.
245 10 - TITLE STATEMENT
Title Learning Motor Skills
Sub Title From Algorithms to Robot Experiments /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 191 p. 56 illus., 54 illus. in color.
490 1# - SERIES STATEMENT
Series statement Springer Tracts in Advanced Robotics,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Reinforcement Learning in Robotics: A Survey -- Movement Templates for Learning of Hitting and Batting -- Policy Search for Motor Primitives in Robotics -- Reinforcement Learning to Adjust Parameterized Motor Primitives to New Situations -- Learning Prioritized Control of Motor Primitives.
520 ## - SUMMARY, ETC.
Summary, etc This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn motor skills and presents tasks that need to take into account the dynamic behavior of the robot and its environment, where a kinematic movement plan is not sufficient. The book illustrates a method that learns to generalize parameterized motor plans which is obtained by imitation or reinforcement learning, by adapting a small set of global parameters, and appropriate kernel-based reinforcement learning algorithms. The presented applications explore highly dynamic tasks and exhibit a very efficient learning process. All proposed approaches have been extensively validated with benchmarks tasks, in simulation, and on real robots. These tasks correspond to sports and games but the presented techniques are also applicable to more mundane household tasks. The book is based on the first author's doctoral thesis, which won the 2013 EURON Georges Giralt PhD Award.
700 1# - AUTHOR 2
Author 2 Peters, Jan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-03194-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Robotics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automation.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Robotics and Automation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1610-7438 ;
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-- ZDB-2-ENG

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