This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code. This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds – deep learning and reinforcement learning – to tap the potential of ‘advanced artificial intelligence’ for creating real-world applications and game-winning algorithms.
Deep Reinforcement Learning: Frontiers of Artificial Intelligence
Amazon.com Price: $121.02 (as of 07/03/2021 23:35 PST- Details) Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on [relevant Amazon Site(s), as applicable] at the time of purchase will apply to the purchase of this product.
This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code. This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds – deep learning and reinforcement learning – to tap the potential of ‘advanced artificial intelligence’ for creating real-world applications and game-winning algorithms.
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Peter Collins Jr. –
Its a terrible book; The author is clearly not very well versed in english, its full of errors, every paragraph has at least one grammar issue that disrupts the flow entirely. And there is so much pointless rumbling too, you multiple sentences that just repeat over and over again the same thing it doesn’t make any sense. I have a feeling the guy used google translate to write this book.
The code examples are of very low quality as well, it uses convoluted code to do very simple things, overly long variable names, way too many verbose comments of things that don’t matter and too little comments on things that do. There is also no walkthrough for the code examples, its just pages and pages full of code with very little useful descriptions. Finally the math is bad too, there are formulas that switch previously introduced notation its very confusing.
Its not worth its price.