Reinforcement learning : (Record no. 222627)

MARC details
000 -LEADER
fixed length control field 03443cam a22005055i 4500
001 - CONTROL NUMBER
control field 21819376
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220426110146.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m |o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171207s2018 xxu|||| o |||| 0|eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019765102
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484232859
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4842-3285-9
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (DE-He213)978-1-4842-3285-9
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions pn
-- rda
Transcribing agency DLC
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 1
Item number NANA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nandy, Abhishek,
9 (RLIN) 31868
245 10 - TITLE STATEMENT
Title Reinforcement learning :
Remainder of title with open AI, tensorflow and keras using python /
Statement of responsibility, etc. By Abhishek Nandy andManisha Biswas.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Apress ,
Date of publication, distribution, etc. 2019.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berkeley, CA :
Name of producer, publisher, distributor, manufacturer Apress :
-- Imprint: Apress,
Date of production, publication, distribution, manufacture, or copyright notice 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 167p. ;
Dimensions 23 cm.
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 PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Reinforcement Learning basics -- Chapter 2: Theory and Algorithms -- Chapter 3: Open AI basics -- Chapter 4: Getting to know Open AI and Open AI Gym the developers way -- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras -- Chapter 6 Google's DeepMind and the future of Reinforcement Learning.
520 ## - SUMMARY, ETC.
Summary, etc. Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used. You will: Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on publisher-supplied MARC data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Reinforcement learning basics
9 (RLIN) 31869
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element OpenAI basics
9 (RLIN) 31870
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Applying python to reinforcement learning
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I21000
9 (RLIN) 31871
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I29080
9 (RLIN) 31872
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Biswas, Manisha.
9 (RLIN) 31873
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Title Reinforcement learning
International Standard Book Number 9781484232842
Record control number (DLC) 2017962867
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484232842
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484232866
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484247358
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 0
b ibc
c origres
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e ncip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Edition 1st
Call number prefix 006.3 NANA
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MCA St Aloysius Institute of Management & Information Technology St Aloysius Institute of Management & Information Technology 03/24/2022 Biblios Book Point 529.00 Bill no:6623; Bill dt:2022-03-23   006.3 NANA MCA17087 07/21/2025 423.00 04/26/2022 Book