Reinforcement Learning

Autor: Abhishek Nandy, Manisha Biswas

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Legare: Carte broșată

Editura: APress

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352.80 lei

Master reinforcement learning, a popular area of machine learning, starting with the basics: discove...

Informații despre carte

Autor

Abhishek Nandy, Manisha Biswas

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2017

Pagini

167

EAN

9781484232842

ISBN

1484232844

Enbook ID

18202140

Editura

APress

Greutate

308

Dimensiuni

239 x 156 x 14

Descriere completă

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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