Reader small image

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

Product typeBook
Published inOct 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781838551964
Edition1st Edition
Languages
Tools
Right arrow
Author (1)
Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
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

Right arrow

Applying Deep Q-Networks to Atari games

The problems we have worked with so far are fairly simple, and applying DQNs is sometimes overkill. In this and the next recipe, we'll use DQNs to solve Atari games, which are far more complicated problems.

We will use Pong (https://gym.openai.com/envs/Pong-v0/) as an example in this recipe. It simulates the Atari 2600 game Pong, where the agent plays table tennis with another player. The observation in this environment is an RGB image of the screen (refer to the following screenshot):

This is a matrix of shape (210, 160, 3), which means that the image is of size 210 * 160 and in three RGB channels.

The agent (on the right-hand side) moves up and down during the game to hit the ball. If it misses it, the other player (on the left-hand side) will get 1 point; similarly, if the other player misses it, the agent will get 1 point. The...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
PyTorch 1.x Reinforcement Learning Cookbook
Published in: Oct 2019Publisher: PacktISBN-13: 9781838551964

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