| 书目名称 | Deep Reinforcement Learning |
| 副标题 | Frontiers of Artific |
| 编辑 | Mohit Sewak |
| 视频video | |
| 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 |
| 图书封面 |  |
| 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 ‘advanced artificial intelligence’ for creating real-world applications and game-winning algorithms.. |
| 出版日期 | Book 2019 |
| 关键词 | 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 |
发表于 2025-3-21 20:06:57
