Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more - Maxim Lapan - Books - Packt Publishing Limited - 9781788834247 - June 20, 2018
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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

Maxim Lapan

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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 methods to training your agent to beat arcade ...

546 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released June 20, 2018
ISBN13 9781788834247
Publishers Packt Publishing Limited
Pages 546
Dimensions 236 × 247 × 35 mm   ·   925 g
Language English  
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