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  • Ký hiệu PL/XG: 006.31 K757
    Nhan đề: Learning Motor Skills :
ISBN 9783319031934
DDC 006.31
Tác giả CN Kober, Jens
Nhan đề Learning Motor Skills : From Algorithms to Robot Experiments / Jens Kober; Jan Peters
Thông tin xuất bản Cham : Springer, 2014.
Mô tả vật lý 191 pages. : illustrations ; 24 cm.
Tùng thư Springer tracts in advanced robotics, 97.
Tóm tắt 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.
Thuật ngữ chủ đề Engineering
Thuật ngữ chủ đề Artificial intelligence
Thuật ngữ chủ đề Robotics
Thuật ngữ chủ đề Reinforcement learning
Từ khóa tự do Natural computation
Từ khóa tự do Soft computing
Khoa Khoa Công nghệ Thông tin
Tác giả(bs) CN Peters, Jan, 1976-
Địa chỉ 300Q12_Kho Mượn_02(1): 072853
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041 |aeng
044 |asz
082 |a006.31|bK757|223
100 |aKober, Jens
245 |aLearning Motor Skills : |bFrom Algorithms to Robot Experiments / |cJens Kober; Jan Peters
260 |aCham : |bSpringer, |c2014.
300 |a191 pages. : |billustrations ; |c24 cm.
490 |aSpringer tracts in advanced robotics, 97.
504 |aIncludes bibliographical references (pages 169-187) and index.
520 |aThis 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.
541 |aDự án VN Book Drive
650 |aEngineering
650 |aArtificial intelligence
650 |aRobotics
650 |aReinforcement learning
653 |aNatural computation
653 |aSoft computing
690 |aKhoa Công nghệ Thông tin
700 |aPeters, Jan, 1976-
852|a300|bQ12_Kho Mượn_02|j(1): 072853
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