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Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series)
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Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series)

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.
Product details
Publisher : MIT Press; second edition (23 Nov. 2018)
Language : English
Hardcover : 552 pages
ISBN-10 : 0262039249
ISBN-13 : 978-0262039246
Reading age : 18 years and up
Dimensions : 18.42 x 3.76 x 23.65 cm
Best Sellers Rank: 60,758 in Books (See Top 100 in Books)
58 in Computer Information Systems
317 in Computing & Internet Programming
Customer reviews: 4.6
548 ratings

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