Simulation-Based Algorithms for Markov Decision Processes (Record no. 43716)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04444nam a22006257a 4500 |
| 001 - CONTROL NUMBER | |
| control field | sulb-eb0021624 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | BD-SySUS |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20160413122152.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130228s2013 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781447150220 |
| -- | 978-1-4471-5022-0 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4471-5022-0 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TJ212-225 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TJFM |
| Source | bicssc |
| Subject category code | TEC004000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.8 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chang, Hyeong Soo. |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Simulation-Based Algorithms for Markov Decision Processes |
| Medium | [electronic resource] / |
| Statement of responsibility, etc. | by Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. 2013. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | London : |
| Name of producer, publisher, distributor, manufacturer | Springer London : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVII, 229 p. 49 illus., 1 illus. in color. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Communications and Control Engineering, |
| International Standard Serial Number | 0178-5354 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Markov Decision Processes -- Multi-stage Adaptive Sampling Algorithms -- Population-based Evolutionary Approaches -- Model Reference Adaptive Search -- On-line Control Methods via Simulation -- Game-theoretic Methods via Simulation. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the system of interest is too complex to allow explicit specification of some of the MDP model parameters, but simulation samples are readily available (e.g., for random transitions and costs). For these settings, various sampling and population-based algorithms have been developed to overcome the difficulties of computing an optimal solution in terms of a policy and/or value function. Specific approaches include adaptive sampling, evolutionary policy iteration, evolutionary random policy search, and model reference adaptive search. This substantially enlarged new edition reflects the latest developments in novel algorithms and their underpinning theories, and presents an updated account of the topics that have emerged since the publication of the first edition. Includes: . innovative material on MDPs, both in constrained settings and with uncertain transition properties; . game-theoretic method for solving MDPs; . theories for developing roll-out based algorithms; and . details of approximation stochastic annealing, a population-based on-line simulation-based algorithm. The self-contained approach of this book will appeal not only to researchers in MDPs, stochastic modeling, and control, and simulation but will be a valuable source of tuition and reference for students of control and operations research. The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Engineering. |
| Topical term or geographic name as entry element | Operations research. |
| Topical term or geographic name as entry element | Decision making. |
| Topical term or geographic name as entry element | Algorithms. |
| Topical term or geographic name as entry element | System theory. |
| Topical term or geographic name as entry element | Management science. |
| Topical term or geographic name as entry element | Probabilities. |
| Topical term or geographic name as entry element | Control engineering. |
| Topical term or geographic name as entry element | Engineering. |
| Topical term or geographic name as entry element | Control. |
| Topical term or geographic name as entry element | Systems Theory, Control. |
| Topical term or geographic name as entry element | Probability Theory and Stochastic Processes. |
| Topical term or geographic name as entry element | Operations Research, Management Science. |
| Topical term or geographic name as entry element | Algorithm Analysis and Problem Complexity. |
| Topical term or geographic name as entry element | Operation Research/Decision Theory. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hu, Jiaqiao. |
| Relator term | author. |
| Personal name | Fu, Michael C. |
| Relator term | author. |
| Personal name | Marcus, Steven I. |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781447150213 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Communications and Control Engineering, |
| International Standard Serial Number | 0178-5354 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://dx.doi.org/10.1007/978-1-4471-5022-0">http://dx.doi.org/10.1007/978-1-4471-5022-0</a> |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | |
No items available.