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

Author (1)

Yuxi (Hayden) Liu

Setting up the Windy Gridworld environment playground

In the previous recipe, we solved a relatively simple environment where we can easily obtain the optimal policy. In this recipe, let's simulate a more complex grid environment, Windy Gridworld, where an external force moves the agent from certain tiles. This will prepare us to search for the optimal policy using the TD method in the next recipe.

Windy Gridworld is a grid problem with a 7 * 10 board, which is displayed as follows:

An agent makes a move up, right, down, and left at a step. Tile 30 is the starting point for the agent, and tile 37 is the winning point where an episode will end if it is reached. Each step the agent takes incurs a -1 reward.

The complexity in this environment is that there is extra wind force in columns 4 to 9. Moving from tiles on those columns, the agent will experience an extra push upward...

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PyTorch 1.x Reinforcement Learning Cookbook

Published in: Oct 2019Publisher: PacktISBN-13: 9781838551964

Author (1)

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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