| 书目名称 | TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains |
| 编辑 | Todd Hester |
| 视频video | http://file.papertrans.cn/901/900088/900088.mp4 |
| 概述 | Latest research on Temporal Difference Reinforcement Learning for Robots.Focuses on applying Reinforcement Learning to real-world problems, particularly learning on robots.Presents the model-based Rei |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time..Robots have the potential to solve many problems in society, because of their ability to work in dangerous places doing necessary jobs that no one wants or is able to do. One barrier to their widespread deployment is that they are mainly limited to tasks where it is possible to hand-program behaviors for every situation that may be encountered. For robots to meet their potential, they need methods that enable them to learn and adapt to novel situations that they were not programmed for. Reinforcement learning (RL) is a paradigm for learning sequential decision making processes and could solve the problems of learning and adaptation on robots. This book identifies four key challenges that must be addressed for an RL algorithm to be practical for robotic control tasks. These RL for Robotics Challenges are: 1) it must learn in very few samples; 2) it must learn in domains with continuous state features; 3) it must handle sensor and/or actuator delays; and 4) it should continually select actions in real time. This book focuses on addressing all four of these |
| 出版日期 | Book 2013 |
| 关键词 | Computational Intelligence; Model Based RL; Real-Time Sample Efficient Reinforcement Learning; Reinforc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-01168-4 |
| isbn_softcover | 978-3-319-37510-6 |
| isbn_ebook | 978-3-319-01168-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing Switzerland 2013 |
|Archiver|手机版|小黑屋|
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