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Deep Reinforcement Learning Hands-On Cover

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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|Jun 2024
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Authors

Lapan Maxim :

Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems, RL for web crawling and web pages analysis. He has been living in Germany with his family.

PDF ISBN: 978-1-78883-930-3
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 546
BISAC subjects:
COM004000,
COM042000,
COM051300
Thema subjects:
UYQ,
UYQL,
UMB

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