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Reinforcement learning : an introduction
Material type:
TextSeries: Adaptive computation and machine learningPublication details: Cambridge, Mass. : MIT Press, ©1998.Description: xviii, 322 p. : ill. ; 24 cmISBN: - 9780262193986
- 006.31 21 SUT-R
- Q325.6 .S88 1998
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | Course reserves |
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Reference
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IIITD Reference | Computer Science and Engineering | REF 006.31 SUT-R (Browse shelf(Opens below)) | Not for loan | 003834 |
Total holds: 0
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| REF 006.31 SHA-K Kernel methods for pattern analysis | REF 006.31 SRA-O Optimization for machine learning | REF 006.31 SUG-I Introduction to statistical machine learning | REF 006.31 SUT-R Reinforcement learning : | REF 006.31 VAP-N The nature of statistical learning theory | REF 006.31 ZHO-E Ensemble methods : | REF 006.312 DAS-E Experimental designs in data science with least resources |
Includes bibliographical references (p. [291]-312) and index.
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