{"product_id":"fundamentals-of-reinforcement-learning-9783031373442","title":"Fundamentals of Reinforcement Learning","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eArtificial intelligence (AI) applications, particularly reinforcement learning, are transforming our lives by outperforming human competitors in strategy games, creative compositing, and autonomous movement. This book provides an introduction to AI, machine learning techniques, and reinforcement learning, aimed at students and professors seeking to advance technological advances and address academic and industrial challenges. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 88 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 15 August 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eArtificial intelligence (AI) applications have revolutionized our lives, with reinforcement learning playing a pivotal role in this technological advancement. This technique surpasses human capabilities in strategy games, creative composition, and autonomous movement, marking a significant transformation in our civilization.\u003cbr\u003e\u003cbr\u003eThis comprehensive book serves as an introduction to AI, delving into machine learning techniques and exploring various aspects of reinforcement learning. It is designed to cater to students eager to contribute to technological advancements and professors engaged in developing innovative applications. By understanding the fundamentals of reinforcement learning, readers will gain a deep understanding of essential AI concepts, acquire professional experience, interpret sequential decision problems, and apply reinforcement learning to solve them effectively.\u003cbr\u003e\u003cbr\u003eThe book includes detailed explanations, accompanied by practical examples and Python code, to facilitate a hands-on learning experience. It covers key concepts such as Q-Learning, policy iteration, and value iteration, guiding readers through the practical implementation of reinforcement learning algorithms. Additionally, the book identifies advantageous directions for future research and applications in the field of AI.\u003cbr\u003e\u003cbr\u003eWhether you are a student seeking to expand your knowledge in AI or a professor looking to incorporate cutting-edge techniques into your teaching, this book is an invaluable resource. It will empower you to navigate the world of reinforcement learning and contribute to the ongoing development of this transformative technology.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 302g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 158 x 243 x 13 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031373442\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Rafael Ris-Ala","offers":[{"title":"Hardback","offer_id":44570828308730,"sku":"9783031373442","price":49.97,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1694792743729_book.jpg?v=1694959879","url":"https:\/\/shulphink.com\/products\/fundamentals-of-reinforcement-learning-9783031373442","provider":"Shulph Ink","version":"1.0","type":"link"}