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
Auteurs
Paramètres
- 826pages
- 29 heures de lecture
En savoir plus sur le livre
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.
Achat du livre
Deep Reinforcement Learning Hands-On - Second Edition, Maxim Lapan
- Langue
- Année de publication
- 2020
- Reliure
- (souple),
- État du livre
- Bon
- Prix
- 14,49 €
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- Titre
- Deep Reinforcement Learning Hands-On - Second Edition
- Sous-titre
- Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Includes Multi-Agent Methods and Advanced Exploration Techniques
- Langue
- Anglais
- Auteurs
- Maxim Lapan
- Éditeur
- Packt Publishing
- Publié
- 2020
- Format
- souple
- Pages
- 826
- ISBN10
- 1838826998
- ISBN13
- 9781838826994
- Séries
- 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.