Reinforcement learning and optimal control (Record no. 7874)
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000 -LEADER | |
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fixed length control field | 01281nam a2200205 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220505b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781886529397 (hb.) |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.703 |
Item number | BER |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Bertsekas, Dimitri P. |
245 ## - TITLE STATEMENT | |
Title | Reinforcement learning and optimal control |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | Massachusetts |
Name of publisher, distributor, etc. | Athena Scientific |
Date of publication, distribution, etc. | 2019 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xiv, 373p., |
500 ## - GENERAL NOTE | |
General note | http://www.athenasc.com/rlbook_athena.html |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book considers large and challenging multistage decision problems, which can be solved in principle by dynamic programming (DP), but their exact solution is computationally intractable. We discuss solution methods that rely on approximations to produce suboptimal policies with adequate performance. These methods are collectively known by several essentially equivalent names: reinforcement learning, approximate dynamic programming, and neuro-dynamic programming. They have been at the forefront of research for the last 25 years, and they underlie, among others, the recent impressive successes of self-learning in the context of games such as chess and Go. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Mathematics |
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 | Dynamic programming |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Reinforcement learning |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 435 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 688 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 640 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 859 |
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 | Date last seen | Koha item type | Total Renewals | Date checked out |
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Dewey Decimal Classification | Mathematics | 35/22-23 | 18/04/2022 | Plaksha University Library | Plaksha University Library | 05/05/2022 | T V Enterprises | 7039.90 | 519.703 BER | 003011 | 09/07/2023 | Book | |||||||
Dewey Decimal Classification | Mathematics | 35/22-23 | 18/04/2022 | Plaksha University Library | Plaksha University Library | 05/05/2022 | T V Enterprises | 7039.90 | 2 | 519.703 BER | 003012 | 16/05/2024 | Book | 2 | 06/04/2024 |