Bandit algorithms (Record no. 7735)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01512nam a2200193 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220227b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781108486828 |
| Qualifying information | hb. |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.3 |
| Item number | LAT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lattimore, Tor. |
| 245 ## - TITLE STATEMENT | |
| Title | Bandit algorithms |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | Cambridge University Press |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii, 518p., |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mathematical optimization |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Probabilities |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Resource allocation--Mathematical models |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Szepesvari, Csaba. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 688 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 492 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 689 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 690 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | bill no. | bill date | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Checked out | Date last seen | Date checked out | Price effective from | Koha item type | Total Renewals |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Mathematics | 511/21-22 | 15/02/2022 | Plaksha University Library | Plaksha University Library | 27/02/2022 | T V Enterprises | 3954.21 | 1 | 519.3 LAT | 002779 | 27/09/2024 | 12/09/2024 | 12/09/2024 | 27/02/2022 | Book | |||||
| Dewey Decimal Classification | Mathematics | 3/22/2023 | 05/04/2022 | Plaksha University Library | Plaksha University Library | 25/04/2022 | T V Enterprises | 3954.21 | 1 | 519.3 LAT | 002972 | 05/11/2024 | 23/07/2024 | 23/07/2024 | 25/04/2022 | Book | 1 |