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| Format: | Bog |
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| Sprog: | engelsk |
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| era | |
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| format | Book |
| genre | |
| geographic | |
| id | 1070a77f-e1b2-4f12-85e5-a9bfd3d86839 |
| isbn | 9789811540950 |
| issn | |
| language | eng |
| physical | XXVII, 514 p. 489 illus., 208 illus. in color.online resource. |
| publication | – publisher: Springer Nature Singapore dateOfPublication: 2020 |
| publishDate | 2020 |
| subjects | |
| title | Deep Reinforcement Learning Fundamentals, Research and Applications / edited by Hao Dong, Zihan Ding, Shanghang Zhang. [electronic resource] : |
| topic | Machine learning. Data mining. Computer vision. Robotics. Computer programming. Natural language processing (Computer science). Machine Learning. Data Mining and Knowledge Discovery. Computer Vision. Robotics. Programming Techniques. Natural Language Processing (NLP). |