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Delve into the world of Reinforcement Learning algorithms and apply them to different use-cases via Python.
You will take a guided tour through featu.
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.
This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and Openai Gym.
Delve into the world of Reinforcement Learning algorithms and apply them to different use-cases via Python
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