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Applying Reinforcement Learning on Real-World Data with Practical Examples in Python - Synthesis Lectures on Artificial Intelligence and Machine Learning Philip Osborne
Applying Reinforcement Learning on Real-World Data with Practical Examples in Python - Synthesis Lectures on Artificial Intelligence and Machine Learning
Philip Osborne
Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. This book shows how reinforcement learning can be adopted in different situations, including robot control, stock trading, supply chain optimization, and plant control.
110 pages
| 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 | 2022年5月30日 |
| ISBN13 | 9781636393445 |
| 出版社 | Morgan & Claypool Publishers |
| ページ数 | 110 |
| 寸法 | 150 × 220 × 10 mm · 225 g (重量(概算)) |