Reinforcement learning : an introduction
Material type: TextPublication details: Cambridge : MIT Press, ©2018.Edition: 2nd edDescription: xxii, 526 p. : ill. ; 25 cmISBN:- 9780262039246
- 006.31 SUT-R
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | Course reserves |
---|---|---|---|---|---|---|---|---|
Books | IIITD Reference | Computer Science and Engineering | CB 006.31 SUT-R (Browse shelf(Opens below)) | Available | 012888 | |||
Books | IIITD General Stacks | Computer Science and Engineering | 006.31 SUT-R (Browse shelf(Opens below)) | Checked out | 24/05/2024 | 011620 | ||
Books | IIITD Reference | Computer Science and Engineering | 006.31 SUT-R (Browse shelf(Opens below)) | Not for loan | 009564 |
Total holds: 0
Browsing IIITD shelves, Shelving location: Reference, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
No cover image available | ||||||||
CB 006.31 MUR-M Machine learning : a probabilistic perspective | CB 006.310 MUR-P Probabilistic machine learning : advanced topics | CB 006.31 STA-S The statquest illustrated guide to machine learning | CB 006.31 SUT-R Reinforcement learning : an introduction | CB 006.31 TRA-D Grokking deep learning | CB 006.312 WIC-R R for data science : | CB 006.32 STE-D Deep learning with PyTorch |
Includes bibliographical references and index.
There are no comments on this title.