4.6 ⭐️, 515+ ratings (Amazon)
4.5 ⭐️, 650+ ratings (Goodreads)
Amazon Link
Click here to purchase on Amazon.
Amazon description:
“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 book is the bible of reinforcement learning, and the new edition is particularly timely given the burgeoning activity in the field. No one with an interest in the problem of learning to act – student, researcher, practitioner, or curious nonspecialist – should be without it.”
―Professor of Computer Science, University of Washington, and author of The Master Algorithm
“I recommend Sutton and Barto’s new edition of Reinforcement Learning to anybody who wants to learn about this increasingly important family of machine learning methods. This second edition expands on the popular first edition, covering today’s key algorithms and theory, illustrating these concepts using real-world applications that range from learning to control robots, to learning to defeat the human world-champion Go player, and discussing fundamental connections between these computer algorithms and research on human learning from psychology and neuroscience.”
―Tom Mitchell, Professor of Computer Science, Carnegie-Mellon University