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portada Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras
Type
Physical Book
Author
Publisher
Language
English
Pages
168
Format
Paperback
Dimensions
23.4 x 15.6 x 1.0 cm
Weight
0.27 kg.
ISBN13
9781484251263
Categories

Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras

Taweh Beysolow II (Author) · Apress · Paperback

Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras - Beysolow II, Taweh

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Synopsis "Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras"

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 LearnImplement 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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