Maxim Lapan
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Maxim Lapan

Name: Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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Author: 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

Maxim Lapan

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

Mediji	Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists	2018. gada 20. jūnijs
ISBN13	9781788834247
Izdevēji	Packt Publishing Limited
Lapas	546
Izmēri	236 × 247 × 35 mm · 925 g
Valoda	Angļu