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Reinforcement learningwith Open AI, ...
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Biswas, Manisha.
Reinforcement learningwith Open AI, TensorFlow and Keras using Python /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Reinforcement learningby Abhishek Nandy, Manisha Biswas.
Reminder of title:
with Open AI, TensorFlow and Keras using Python /
Author:
Nandy, Abhishek.
other author:
Biswas, Manisha.
Published:
Berkeley, CA :Apress :2018.
Description:
xiii, 167 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Reinforcement learning.
Online resource:
http://dx.doi.org/10.1007/978-1-4842-3285-9
ISBN:
9781484232859$q(electronic bk.)
Reinforcement learningwith Open AI, TensorFlow and Keras using Python /
Nandy, Abhishek.
Reinforcement learning
with Open AI, TensorFlow and Keras using Python /[electronic resource] :by Abhishek Nandy, Manisha Biswas. - Berkeley, CA :Apress :2018. - xiii, 167 p. :ill., digital ;24 cm.
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used. You will: Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python.
ISBN: 9781484232859$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3285-9doiSubjects--Topical Terms:
349131
Reinforcement learning.
LC Class. No.: Q325.6
Dewey Class. No.: 006.31
Reinforcement learningwith Open AI, TensorFlow and Keras using Python /
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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.
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EB Q325.6 .N176 2018 2018
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http://dx.doi.org/10.1007/978-1-4842-3285-9
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