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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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Simulating the FrozenLake environment

The optimal policies for the MDPs we have dealt with so far are pretty intuitive. However, it won't be that straightforward in most cases, such as the FrozenLake environment. In this recipe, let's play around with the FrozenLake environment and get ready for upcoming recipes where we will find its optimal policy.

FrozenLake is a typical Gym environment with a discrete state space. It is about moving an agent from the starting location to the goal location in a grid world, and at the same time avoiding traps. The grid is either four by four (https://gym.openai.com/envs/FrozenLake-v0/) or eight by eigh.

t (https://gym.openai.com/envs/FrozenLake8x8-v0/). The grid is made up of the following four types of tiles:

  • S: The starting location
  • G: The goal location, which terminates an episode
  • F: The frozen tile, which is a walkable location...
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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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