Deep Reinforcement Learning Hands-On - Second Edition

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

Autor*innen

• Maxim Lapan

Parameter

• 826 Seiten
• 29 Lesestunden

• Künstliche Intelligenz

Mehr zum Buch

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.

• Sprache: Englisch
• Erscheinungsdatum: 2020
• Einband: Paperback