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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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| Formáid: | Printed Book |
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Birmingham-Mumbai:
Packt Publishing,
2018.
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| Eagrán: | 1 Ed. |
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