| 書目名稱 | Deep Reinforcement Learning |
| 副標題 | Frontiers of Artific |
| 編輯 | Mohit Sewak |
| 視頻video | http://file.papertrans.cn/265/264655/264655.mp4 |
| 概述 | Presents comprehensive insights into advanced deep learning concepts like the ‘hard attention mechanism’.Introduces algorithms that are slated to become the future of artificial intelligence.Allows re |
| 圖書封面 |  |
| 描述 | .This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code...This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds – deep learning and reinforcement learning – to tap the potential of ‘a(chǎn)dvanced artificial intelligence’ for creating real-world applications and game-winning algorithms.. |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Reinforcement Learning; Deep Learning; Artificial Intelligence; Deep Q Learning; A3C; Actor-Critic; Deep M |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-8285-7 |
| isbn_softcover | 978-981-13-8287-1 |
| isbn_ebook | 978-981-13-8285-7 |
| copyright | Springer Nature Singapore Pte Ltd. 2019 |
|Archiver|手機版|小黑屋|
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