Reinforcement Learning, 2nd Edition
An Introduction
$295.84
- Hardcover
552 pages
- Release Date
13 November 2018
Summary
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 cl…
Book Details
| ISBN-13: | 9780262039246 |
|---|---|
| ISBN-10: | 0262039249 |
| Author: | Richard S. Sutton, Andrew G. Barto |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 552 |
| Edition: | 2nd |
| Release Date: | 13 November 2018 |
| Weight: | 1.19kg |
| Dimensions: | 229mm x 178mm |
| Series: | Reinforcement Learning |
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About The Author
Richard S. Sutton
Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.Andrew G. Barto is Professor Emeritus in the College of Computer and Information Sciences at the University of Massachusetts Amherst.
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