Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.
Material type: TextSeries: Adaptive computation and machine learning seriesPublication details: Cambridge MIT PressEdition: Second editionDescription: xxii, 526 pages : illustrations (some color)ISBN:- 9780262039246
- 006.31 23 SUT/R
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Book | Dept. of Optoelectronics | Dept. of Optoelectronics | 006.31 SUT/R (Browse shelf(Opens below)) | Available | DOP3631 |
Includes bibliographical references (pages 481-518) and index.
"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."--
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