Deep Reinforcement Learning Hands-On - Second Edition

Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more

Autori

• Maxim Lapan

Parametri

• 826 pagine
• 29 ore di lettura

• Intelligenza artificiale

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.

Lingua: Inglese

Pubblicato: 2020

(In brossura)