| 000 -LEADER |
|---|
| fixed length control field |
01785nam a2200397 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
EBC5434975 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MiAaPQ |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180706s2018 enk ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781788834247 |
|
|---|
| International Standard Book Number |
9781788839303 (e-book) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(MiAaPQ)EBC5434975 |
|
|---|
| System control number |
(Au-PeEL)EBL5434975 |
|
|---|
| System control number |
(CaPaEBR)ebr11584858 |
|
|---|
| System control number |
(OCoLC)1042318736 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MiAaPQ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
MiAaPQ |
| Modifying agency |
MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.6 |
| Item number |
.L373 2018 |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lapan, Maxim, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Deep reinforcement learning hands-on : |
| Remainder of title |
apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / |
| Statement of responsibility, etc |
Maxim Lapan. |
| 264 #1 - |
|---|
| -- |
Birmingham, England : |
| -- |
Packt Publishing, |
| -- |
2018. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (547 pages) |
| 336 ## - |
|---|
| -- |
text |
| -- |
txt |
| -- |
rdacontent |
| 337 ## - |
|---|
| -- |
computer |
| -- |
c |
| -- |
rdamedia |
| 338 ## - |
|---|
| -- |
online resource |
| -- |
cr |
| -- |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 588 ## - |
|---|
| -- |
Description based on print version record. |
| 590 ## - LOCAL NOTE (RLIN) |
|---|
| Local note |
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Reinforcement learning. |
| 655 #4 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| Main entry heading |
Lapan, Maxim. |
| Title |
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more. |
| Place, publisher, and date of publication |
Birmingham, England : Packt Publishing, c2018 |
| Physical description |
547 pages |
| International Standard Book Number |
9781788834247 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) |
|---|
| Corporate name or jurisdiction name as entry element |
ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=5434975 |
| Public note |
Click to View |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
E-book |
