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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 30 de junio de 2020 |
| ISBN13 | 9789811540943 |
| Editores | Springer Verlag, Singapore |
| Páginas | 514 |
| Dimensiones | 150 × 220 × 20 mm · 1,07 kg |
| Editor | Ding, Zihan |
| Editor | Dong, Hao |
| Editor | Zhang, Shanghang |