Andrew Barto is Professor Emeritus in the College of Information and Computer Sciences at University of Massachusetts Amherst. He is a Co-Director at Autonomous Learning Laboratory. His research interests are theory and application of methods for learning and planning in stochastic sequential decision problems; algebraic approaches to abstraction; psychology, neuroscience, and computational theory of motivation, reward, and addiction; computational models of learning and adaptation in animal motor control systems.
Books Authored by Andrew G. Barto
Reinforcement Learning: An Introduction, Second Edition
Post date: 09 Jan 2017This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.
Publisher:
The MIT Press
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic
Document Type: Textbook
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic
Document Type: Textbook
Reinforcement Learning: An Introduction, Second Edition
Post date: 09 Jan 2017This textbook provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Familiarity with elementary concepts of probability is required.
Publisher:
The MIT Press
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic Document Type: Textbook
Publication date: 03 Apr 2018
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic Document Type: Textbook
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