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Statistical Reinforcement Learning: Modern Machine Learning Approaches - Chapman & Hall / CRC Machine Learning & Pattern Recognition Masashi Sugiyama 第1 版本
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预计送达时间 年7月14日 - 年7月30日
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其他版本：
Statistical Reinforcement Learning: Modern Machine Learning Approaches - Chapman & Hall / CRC Machine Learning & Pattern Recognition
Masashi Sugiyama
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-f
206 pages
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2020年6月30日 |
| ISBN13 | 9780367575861 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 206 |
| 商品尺寸 | 150 × 220 × 10 mm · 660 g |
| 语言 | 英语 |
