Applied Reinforcement Learning With Python

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Applied Reinforcement Learning with Python

Applied Reinforcement Learning with Python
Author :
Publisher : Apress
Total Pages : 177
Release :
ISBN-10 : 9781484251270
ISBN-13 : 148425127X
Rating : 4/5 (27X Downloads)

Book Synopsis Applied Reinforcement Learning with Python by : Taweh Beysolow II

Download or read book Applied Reinforcement Learning with Python written by Taweh Beysolow II and published by Apress. This book was released on 2019-08-23 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions. What You'll Learn Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning–based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is For Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.


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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig