Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.
Material type: TextSeries: Adaptive computation and machine learning seriesPublication details: Cambridge, Massachusetts : The MIT Press, c2018Edition: Second editionDescription: xxii, 526 pages : illustrations (some color) ; 23 cmISBN:- 9780262039246 (hardcover : alk. paper)
- 006.31 23
- Q325.6 .R45 2018
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Book | Ayesha Abed Library General Stacks | Ayesha Abed Library General Stacks | 006.31 SUT (Browse shelf(Opens below)) | 1 | Checked out | 14/11/2024 | 3010034688 | |
Book | Ayesha Abed Library General Stacks | Ayesha Abed Library General Stacks | 006.31 SUT (Browse shelf(Opens below)) | 2 | Missing | 3010034689 |
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."--
CSE
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