| 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(guān)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 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-15 23:24
發(fā)表于 2025-3-21 18:48:47
