Grokking Deep Reinforcement Learning by Miguel Morales (English) Paperback Book

Description: FREE SHIPPING UK WIDE Grokking Deep Reinforcement Learning by Miguel Morales Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. Youll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return. FORMAT Paperback LANGUAGE English CONDITION Brand New Author Biography Miguel Morales is a Senior Software Engineer at Lockheed Martin, Missile and Fire Control-Autonomous Systems. He is also a faculty member at Georgia Institute of Technology where he works as an Instructional Associate for the Reinforcement Learning and Decision Making graduate course. Miguel has worked for numerous other educational and technology companies including Udacity, AT&T, Cisco, and HPE. Details ISBN1617295450 Author Miguel Morales Publisher Manning Publications Language English ISBN-10 1617295450 ISBN-13 9781617295454 Format Paperback Imprint Manning Publications Place of Publication New York Country of Publication United States Illustrations Illustrations, unspecified Pages 465 Birth 1949 Affiliation Leroy A. Martin Distinguished Professor of Religious Studies, University of Tennessee at Chattanooga Position Leroy A. Martin Distinguished Professor of Religious Studies Qualifications BA, MED AU Release Date 2021-01-01 NZ Release Date 2021-01-01 US Release Date 2021-01-01 Year 2021 Publication Date 2021-01-01 UK Release Date 2021-01-01 DEWEY 006.3 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:131063149;

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