Deep Reinforcement Learning Hands-On - Second Edition
Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Includes Multi-Agent Methods and Advanced Exploration Techniques
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- 826 pages
- 29 hours of reading
More about the book
This updated guide delves into deep reinforcement learning, showcasing its applications in addressing intricate real-world challenges. The new edition features expanded content on multi-agent methods, discrete optimization, and the role of reinforcement learning in robotics. Additionally, it covers advanced exploration techniques, making it a comprehensive resource for both beginners and experienced practitioners seeking to deepen their understanding of this rapidly evolving field.
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Deep Reinforcement Learning Hands-On - Second Edition, Maxim Lapan
- Language
- Released
- 2020
- Binding
- (Paperback),
- Book condition
- Good
- Price
- €14.49
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- Title
- Deep Reinforcement Learning Hands-On - Second Edition
- Subtitle
- Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Includes Multi-Agent Methods and Advanced Exploration Techniques
- Language
- English
- Authors
- Maxim Lapan
- Publisher
- Packt Publishing
- Released
- 2020
- Format
- Paperback
- Pages
- 826
- ISBN10
- 1838826998
- ISBN13
- 9781838826994
- Series
- Description
- This updated guide delves into deep reinforcement learning, showcasing its applications in addressing intricate real-world challenges. The new edition features expanded content on multi-agent methods, discrete optimization, and the role of reinforcement learning in robotics. Additionally, it covers advanced exploration techniques, making it a comprehensive resource for both beginners and experienced practitioners seeking to deepen their understanding of this rapidly evolving field.