Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications

Mahajan, Shubham, Raj, Pethuru, Pandit, Amit Kant

Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications
  • 出版商: Wiley
  • 出版日期: 2024-10-22
  • 售價: $7,390
  • 貴賓價: 9.5 折 $7,021
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394272553
  • ISBN-13: 9781394272556
  • 相關分類: Reinforcement、人工智慧、DeepLearning

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商品描述

"Deep Reinforcement Learning and its Industrial Use Cases: Harnessing AI for Real-World Applications" is an essential guide that supplies complex theories, practical insights, and diverse case studies behind deep reinforcement learning. This book offers a comprehensive look into how DLR is revolutionizing fields by implementing advanced algorithms in a variety of industries to solve real-world problems. Beyond the realm of successes of DLR, it critically examines challenges, pitfalls, and ethical considerations. This research and knowledge explore insights to meet the needs of curious enthusiasts eager to understand the cutting-edge technology shaping our future.

Throughout the pages of this book, we seek to discover the inner workings of DLR and its real-world applications. We start by laying down the foundational principles of reinforcement learning and building up to advanced DLR algorithms and techniques. Along the way, we delve into diverse case studies, examining how leading organizations harness the power of DLR to drive innovation and gain a competitive edge. From financial trading to autonomous manufacturing systems, each case study offers valuable insights into the practical considerations and challenges involved in deploying DLR solutions.

商品描述(中文翻譯)

《深度強化學習及其工業應用案例：利用人工智慧解決現實世界的問題》是一本必備指南，提供了深度強化學習背後的複雜理論、實用見解和多樣化的案例研究。本書全面探討了深度強化學習如何透過在各行各業實施先進算法來解決現實世界的問題，從而徹底改變各個領域。除了深度強化學習的成功案例外，本書還批判性地檢視了挑戰、陷阱和倫理考量。這項研究和知識探索提供了見解，以滿足渴望了解塑造我們未來的尖端技術的好奇愛好者的需求。

在本書的每一頁中，我們尋求發現深度強化學習的內部運作及其現實世界的應用。我們首先奠定強化學習的基礎原則，然後逐步深入到先進的深度強化學習算法和技術。在這個過程中，我們深入探討多樣化的案例研究，檢視領先組織如何利用深度強化學習的力量來推動創新並獲得競爭優勢。從金融交易到自主製造系統，每個案例研究都提供了有關部署深度強化學習解決方案的實際考量和挑戰的寶貴見解。

作者簡介

Shubham Mahajan, PhD, is an assistant professor in the School of Engineering at Ajeekya D Y Patil University, Pune, Maharashtra, India. He has eight Indian, one Australian, and one German patent to his credit in artificial intelligence and image processing. He has authored/co-authored more than 50 publications including peer-reviewed journals and conferences. His main research interests include image processing, video compression, image segmentation, fuzzy entropy, and nature-inspired computing methods with applications in optimization, data mining, machine learning, robotics, and optical communication.

Pethuru Raj, PhD, is chief architect and vice president at Reliance Jio Platforms Ltd in Bangalore, India. He has a PhD in computer science and automation from the Indian Institute of Science in Bangalore, India. His areas of interest focus on artificial intelligence, model optimization, and reliability engineering. He has published thirty research papers and edited forty-two books.

Amit Kant Pandit, PhD, is an associate professor in the School of Electronics & Communication Engineering Shri Mata Vaishno Devi University, India. He has authored/co-authored more than 60 publications including peer-reviewed journals and conferences. He has two Indian and one Australian patent to his credit in artificial intelligence and image processing. His main research interests are image processing, video compression, image segmentation, fuzzy entropy, and nature-inspired computing methods with applications in optimization.

作者簡介(中文翻譯)

Shubham Mahajan, PhD，是印度馬哈拉施特拉邦浦那市Ajeekya D Y Patil大學工程學院的助理教授。他在人工智慧和影像處理方面擁有八項印度專利、一項澳洲專利和一項德國專利。他已發表或共同發表超過50篇論文，包括同行評審的期刊和會議論文。他的主要研究興趣包括影像處理、視頻壓縮、影像分割、模糊熵以及自然啟發的計算方法，並應用於優化、數據挖掘、機器學習、機器人技術和光學通信。

Pethuru Raj, PhD，是印度班加羅爾Reliance Jio Platforms Ltd的首席架構師和副總裁。他擁有印度班加羅爾印度科學研究院的計算機科學與自動化博士學位。他的研究領域集中在人工智慧、模型優化和可靠性工程。他已發表三十篇研究論文並編輯四十二本書籍。

Amit Kant Pandit, PhD，是印度Shri Mata Vaishno Devi大學電子與通信工程學院的副教授。他已發表或共同發表超過60篇論文，包括同行評審的期刊和會議論文。他在人工智慧和影像處理方面擁有兩項印度專利和一項澳洲專利。他的主要研究興趣包括影像處理、視頻壓縮、影像分割、模糊熵以及自然啟發的計算方法，並應用於優化。

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