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Reinforcement learning : with Open AI, TensorFlow and Keras using Python / Abhishek Nandy, Manisha Biswas.

9781484232859 (electronic book)
1484232852 (electronic book)
9781484232842
1484232844

[Berkeley, CA] : Apress, [2018]

©2018

English

1 online resource

10.1007/978-1-4842-3285-9 doi

Q325.6

006.3/1

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.

Includes index.

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Online resource; title from PDF title page (viewed December 20, 2017).

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