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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
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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
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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de mayo de 2022 |
| ISBN13 | 9781636393445 |
| Editores | Morgan & Claypool Publishers |
| Páginas | 110 |
| Dimensiones | 150 × 220 × 10 mm · 225 g (Peso (estimado)) |