| 書目名稱 | Reinforcement Learning Algorithms: Analysis and Applications |
| 編輯 | Boris Belousov,Hany Abdulsamad,Jan Peters |
| 視頻video | http://file.papertrans.cn/826/825935/825935.mp4 |
| 概述 | Provides recent research on reinforcement learning algorithms.Presents the analysis and application alike.Written by respected experts in the field |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | .This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.. . The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universit?t Darmstadt.. . The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience. . |
| 出版日期 | Book 2021 |
| 關鍵詞 | Reinforcement Learning Algorithms; Reinforcement Learning; Computational Intelligence; Machine Learning |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-41188-6 |
| isbn_softcover | 978-3-030-41190-9 |
| isbn_ebook | 978-3-030-41188-6Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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