| 书目名称 | Learning Motor Skills |
| 副标题 | From Algorithms to R |
| 编辑 | Jens Kober,Jan Peters |
| 视频video | |
| 概述 | Presents an overview of reinforcement learning as applied to robotics.Provides novel algorithms and novel applications for learning motor skills.Extensively evaluates the applications of the approache |
| 丛书名称 | Springer Tracts in Advanced Robotics |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2014 |
| 关键词 | Machine Learning; Motor Primitives; Policy Search; Reinforcement Learning; Robotics; Skill Learning |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-03194-1 |
| isbn_softcover | 978-3-319-37732-2 |
| isbn_ebook | 978-3-319-03194-1Series ISSN 1610-7438 Series E-ISSN 1610-742X |
| issn_series | 1610-7438 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 17:01:05
