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
Autorzy
Parametry
- 826 stron
- 29 godzin czytania
Więcej o książce
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.
Zakup książki
Deep Reinforcement Learning Hands-On - Second Edition, Maxim Lapan
- Język
- Rok wydania
- 2020
- Oprawa
- (miękka),
- Stan książki
- Dobry
- Cena
- 62,99 zł
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- Tytuł
- Deep Reinforcement Learning Hands-On - Second Edition
- Podtytuł
- Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Includes Multi-Agent Methods and Advanced Exploration Techniques
- Język
- angielski
- Autorzy
- Maxim Lapan
- Wydawca
- Packt Publishing
- Rok wydania
- 2020
- Oprawa
- miękka
- Liczba stron
- 826
- ISBN10
- 1838826998
- ISBN13
- 9781838826994
- Seria
- Opis
- 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.