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You're reading from  PyTorch 1.x Reinforcement Learning Cookbook

Product typeBook
Published inOct 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781838551964
Edition1st Edition
Languages
Python
Tools
PyTorch
Concepts
Reinforcement Learning
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Author (1)
Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
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Yuxi (Hayden) Liu

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.
Read more about Yuxi (Hayden) Liu

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Performing on-policy Monte Carlo control

In the previous recipe, we predicted the value of a policy where the agent holds if the score gets to 18. This is a simple policy that everyone can easily come up with, although obviously not the optimal one. In this recipe, we will search for the optimal policy to play Blackjack, using on-policy Monte Carlo control.

Monte Carlo prediction is used to evaluate the value for a given policy, while Monte Carlo control (MC control) is for finding the optimal policy when such a policy is not given. There are basically categories of MC control: on-policy and off-policy. On-policy methods learn about the optimal policy by executing the policy and evaluating and improving it, while off-policy methods learn about the optimal policy using data generated by another policy. The way on-policy MC control works is quite similar to policy iteration in...

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PyTorch 1.x Reinforcement Learning Cookbook
Published in: Oct 2019Publisher: PacktISBN-13: 9781838551964
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Yuxi (Hayden) Liu

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.
Read more about Yuxi (Hayden) Liu

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