Robert Johnson 
Deep Reinforcement Learning [EPUB ebook] 
An Essential Guide

Supporto

‘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.

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Lingua Inglese ● Formato EPUB ● Pagine 248 ● ISBN 6610000663156 ● Dimensione 1.4 MB ● Casa editrice HiTeX Press ● Pubblicato 2024 ● Scaricabile 24 mesi ● Moneta EUR ● ID 10004983 ● Protezione dalla copia senza

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