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Reinforcement Learning - With Open AI, TensorFlow and Keras Using Python (Paperback, 1st ed.)
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Reinforcement Learning - With Open AI, TensorFlow and Keras Using Python (Paperback, 1st ed.)
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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. What You'll Learn 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 Who This Book Is For Data scientists, machine
learning and deep learning professionals, developers who want to
adapt and learn reinforcement learning.
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