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
Autori
Parametri
- 826pagine
- 29 ore di lettura
Maggiori informazioni sul libro
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.
Acquisto del libro
Deep Reinforcement Learning Hands-On - Second Edition, Maxim Lapan
- Lingua
- Pubblicato
- 2020
- Rilegatura
- (In brossura),
- Condizioni del libro
- In buone condizioni
- Prezzo
- 14,49 €
Metodi di pagamento
Ancora nessuna valutazione.
- Titolo
- Deep Reinforcement Learning Hands-On - Second Edition
- Sottotitolo
- Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Includes Multi-Agent Methods and Advanced Exploration Techniques
- Lingua
- Inglese
- Autori
- Maxim Lapan
- Editore
- Packt Publishing
- Pubblicato
- 2020
- Formato
- In brossura
- Pagine
- 826
- ISBN10
- 1838826998
- ISBN13
- 9781838826994
- Serie
- Descrizione
- 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.