Reinforcement Learning : (Record no. 670158)

MARC details
000 -LEADER
fixed length control field 02267cam a22002175i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781484232859
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
Item number NAN
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Nandy, Abhishek,
245 10 - TITLE STATEMENT
Title Reinforcement Learning :
Sub Title With Open AI, TensorFlow and Keras Using Python /
Statement of responsibility, etc by Abhishek Nandy, Manisha Biswas.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Apress
Year of publication 2022
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (XIII, 167 pages 173 illustrations, 157 illustrations in color.)
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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language).
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Biswas, Manisha,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
        Dept. of Computer Science Dept. of Computer Science 24/01/2023 006.3 NAN DCS5064 24/01/2023 Book