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Learning motor skills [electronic resource] : from algorithms to robot experiments

Learning motor skills [electronic resource] : from algorithms to robot experiments

Material type
E-Book(소장)
Personal Author
Kober, Jens. Peters, Jan, 1976-.
Title Statement
Learning motor skills [electronic resource] : from algorithms to robot experiments / Jens Kober, Jan Peters.
Publication, Distribution, etc
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
Physical Medium
1 online resource (15, 190 p.) : ill. (some col.).
Series Statement
Springer tracts in advanced robotics,1610-7438 ; 97
ISBN
9783319031941
요약
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Reinforcement learning. Robotics.
Short cut
URL
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006 m d
007 cr
008 200916s2014 sz a ob 001 0 eng d
020 ▼a 9783319031941
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a Q325.6
082 0 4 ▼a 006.31 ▼2 23
084 ▼a 006.31 ▼2 DDCK
090 ▼a 006.31
100 1 ▼a Kober, Jens.
245 1 0 ▼a Learning motor skills ▼h [electronic resource] : ▼b from algorithms to robot experiments / ▼c Jens Kober, Jan Peters.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (15, 190 p.) : ▼b ill. (some col.).
490 1 ▼a Springer tracts in advanced robotics, ▼x 1610-7438 ; ▼v 97
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Reinforcement learning.
650 0 ▼a Robotics.
700 1 ▼a Peters, Jan, ▼d 1976-.
830 0 ▼a Springer tracts in advanced robotics ; ▼v 97.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-03194-1
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.31 Accession No. E14034006 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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