{"product_id":"grokking-deep-reinforcement-learning-paperback","title":"Grokking Deep Reinforcement Learning (Paperback)","description":"\u003cp\u003e\u003ci style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eGrokking Deep Reinforcement Learning\u003c\/i\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eSummary\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eWe 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. \u003c\/span\u003e\u003ci style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eGrokking Deep Reinforcement Learning\u003c\/i\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll 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.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the technology\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eWe learn by interacting with our environment, and the rewards or punishments we experience guide our future behavior. Deep reinforcement learning brings that same natural process to artificial intelligence, analyzing results to uncover the most efficient ways forward. DRL agents can improve marketing campaigns, predict stock performance, and beat grand masters in Go and chess.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the book\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eGrokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eWhat's inside\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    An introduction to reinforcement learning\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    DRL agents with human-like behaviors\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e    Applying DRL to complex situations\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the reader\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eFor developers with basic deep learning experience.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cb style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eAbout the author\u003c\/b\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e\u003cspan style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eMiguel Morales works on reinforcement learning at Lockheed Martin and is an instructor for the Georgia Institute of Technology’s Reinforcement Learning and Decision Making course.\u003c\/span\u003e\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eEbook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty And License Agreement\u003c\/p\u003e\u003cp\u003e1. 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This Agreement Is Governed By The Laws Of The State Of New York\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506210181190,"sku":"9781617295454","price":5318.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506210213958,"sku":"9781617295454-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/812RqeqGufL.jpg?v=1790323231","url":"https:\/\/cb-india.com\/products\/grokking-deep-reinforcement-learning-paperback","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}