Deep Reinforcement Learning Hands-On - Second Edition

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

Auteurs

• Maxim Lapan

Paramètres

• Pages: 826 pages
• Temps de lecture: 29 heures

• Intelligence Artificielle

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

• Année de publication: 2020
• Reliure: (souple)