‘Deep Reinforcement Learning: An Essential Guide’ offers a comprehensive introduction to one of the most dynamic and transformative areas of artificial intelligence. This book meticulously unravels the intricate concepts of deep reinforcement learning (DRL), bridging foundational theories with cutting-edge applications. Addressing both newcomers and experienced practitioners, it provides a structured exploration from the basics of neural networks and reinforcement learning to the sophisticated mechanisms that drive core algorithms like DQN, PPO, and policy gradient methods.
The book emphasizes real-world applications, showcasing DRL’s impact across gaming, finance, healthcare, and autonomous systems, illustrating its vast potential and versatility. By understanding the strategic balance of exploration and exploitation, readers gain insight into designing intelligent agents capable of thriving in complex environments. As DRL continues to evolve, the text also delves into current challenges and future directions, such as ethical considerations, safety, and efficiency, preparing readers to contribute to and innovate within this rapidly advancing field. Comprehensive yet accessible, this guide is an invaluable resource for anyone aspiring to harness the power of deep reinforcement learning.
Robert Johnson
Deep Reinforcement Learning [EPUB ebook]
An Essential Guide
Deep Reinforcement Learning [EPUB ebook]
An Essential Guide
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Language English ● Format EPUB ● Pages 248 ● ISBN 6610000663156 ● File size 1.4 MB ● Publisher HiTeX Press ● Published 2024 ● Downloadable 24 months ● Currency EUR ● ID 10004983 ● Copy protection without