Skip to content

An implementation of Deep Q Learning from scratch with PyTorch and OpenAI gym on the ATARI environment (Breakout). The author of this code is Bryan Thornbury (@brthor) and all credit goes to him. I did some minor adjustments needed to keep up with numpy / gym and added some QoL improvements.

License

Notifications You must be signed in to change notification settings

matteo4diani/deep-q-learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 

Repository files navigation

An implementation of Deep Q Learning from scratch with PyTorch and OpenAI gym on the ATARI environment (Breakout). The author of this code is Bryan Thornbury (@brthor) and all credit goes to him. I did some minor adjustments needed to keep up with numpy / gym and added some QoL improvements.

About

An implementation of Deep Q Learning from scratch with PyTorch and OpenAI gym on the ATARI environment (Breakout). The author of this code is Bryan Thornbury (@brthor) and all credit goes to him. I did some minor adjustments needed to keep up with numpy / gym and added some QoL improvements.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published