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Reinforcement Learning

Book Name: Reinforcement Learning
Author: Abhishek Nandy, Manisha Biswas
Publisher: Apress
ISBN-10: 1484232844
Year: 2018
Pages: 174
Language: English
File size: 11.2 MB
File format: PDF

Reinforcement Learning Pdf Book Description:

Masterreinforcement learning, a favorite subject of machine learning, beginning with the fundamentals: discover how the environment grow and then develop a very clear picture of how they’re inter-related. You will then work with notions associated with reinforcement learning and determine the concepts that develop the reinforcement learning procedure.

ReinforcementLearning discusses algorithm implementations significant for reinforcement learning, such as Markov’s Conclusion procedure and Semi Markov Decision procedure. The following section demonstrates how you can begin using Open AI before searching at Open AI Gym. You will then find out about Swarm Intelligence using Python concerning reinforcement learning.

The previous portion of the novel starts with all the TensorFlow surroundings and provides a summary of how reinforcement learning can be implemented to TensorFlow. Eventually, they’ll delve into Google’s Deep Mind and determine situations where reinforcement learning may be used.

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