Reinforcement Learning: An Introduction (Record no. 148134)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01047nam a22001817a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240117b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780262039246 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | SUT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sutton, Richard S. |
| 245 ## - TITLE STATEMENT | |
| Title | Reinforcement Learning: An Introduction |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | MIT Press |
| Date of publication, distribution, etc | 2018 |
| Place of publication, distribution, etc | USA |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 526p |
| 500 ## - GENERAL NOTE | |
| General note | Introduction<br/>Part 1: Tabular Solution Methods<br/>Multi Armed Bandits<br/>Finite Markov Decision Processes<br/>Dynamic Programming<br/>Monte Carlo Methods<br/>Temporal Difference Learning<br/>N-Step Bootstrapping<br/>Planning and Learning with Tabular Methods<br/>Part 2: Approximate Solution Methods<br/>On-Policy Prediction with Approximation<br/>On-Policy Control with Approximation<br/>Off-Policy Methods with Approximation<br/>Eligibility Traces<br/>Policy Gradient Methods<br/>Part 3: Looking Deeper<br/>Psychology<br/>Neuroscience<br/>Applications and Case Studies<br/>Frontiers<br/> |
| 600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME | |
| Personal name | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Barto, Andrew G. |
| 9 (RLIN) | 37086 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Item type | Book |
| Call number suffix | 006.31 |
| Call number prefix | SUT |
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