Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
This book is a practical, developer-oriented introduction to deep reinforcement learning (RL). Explore the theoretical concepts of RL, before discovering how deep learning (DL) methods and tools are making it possible to solve more complex and challenging problems than ever before. Apply deep RL met...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK :
Packt Publishing,
2018.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
| Summary: | This book is a practical, developer-oriented introduction to deep reinforcement learning (RL). Explore the theoretical concepts of RL, before discovering how deep learning (DL) methods and tools are making it possible to solve more complex and challenging problems than ever before. Apply deep RL methods to training your agent to beat arcade ... |
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| Item Description: | "Expert insight." |
| Physical Description: | 1 online resource (1 volume) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781788839303 1788839307 1788834240 9781788834247 |
| Source of Description, Etc. Note: | Online resource; title from cover (Safari, viewed July 30, 2018). |