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REINFORCEMENT LEARNING IBD

ABHISHEK NANDY / MANISHA BISWAS
APRESS
12 / 2017
9781484232842
Inglés

Sinopse

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. YouâÇÖll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.áReinforcement Learningádiscusses algorithm implementations important for reinforcement learning, including MarkovâÇÖs Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI ábefore looking at Open AI Gym. YouâÇÖll then learn about Swarm Intelligence with Python in terms of reinforcement learning.áThe last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. ThereâÇÖs also coverage of Keras, a framework that can be used with reinforcement learning. Finally, youâÇÖll delve into GoogleâÇÖs Deep Mind and see scenarios where reinforcement learning can be used.áWhat YouâÇÖll LearnáAbsorb the core concepts of the reinforcement learning processUse advanced topics of deep learning and AIWork with Open AI Gym, Open AI, and PythonáHarness reinforcement learning with TensorFlow and Keras using PythonWho This Book Is ForData scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning.

PVP
85,24€