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Deep Reinforcement Learning: Fundamentals, Research and Applications 2020 edition
Deep Reinforcement Learning: Fundamentals, Research and Applications
Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation.
514 pages, 208 Illustrations, color; 281 Illustrations, black and white; XXVII, 514 p. 489 illus., 2
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2021年6月30日 |
| ISBN13 | 9789811540974 |
| 出版社 | Springer Verlag, Singapore |
| ページ数 | 514 |
| 寸法 | 150 × 220 × 10 mm · 968 g |
| 編集者 | Ding, Zihan |
| 編集者 | Dong, Hao |
| 編集者 | Zhang, Shanghang |