https://github.com/matteo4diani/deep-q-learning

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.
https://github.com/matteo4diani/deep-q-learning

atari-2600 atari-breakout deep-learning deep-q-learning deep-reinforcement-learning openai-gym

Last synced: about 2 months ago
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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.

• Host: GitHub
• URL: https://github.com/matteo4diani/deep-q-learning
• Owner: matteo4diani
• License: mit
• Created: 2022-09-11T18:49:53.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-11T08:12:44.000Z (over 3 years ago)
• Last Synced: 2025-07-27T04:51:41.057Z (10 months ago)
• Topics: atari-2600, atari-breakout, deep-learning, deep-q-learning, deep-reinforcement-learning, openai-gym
• Language: Jupyter Notebook
• Homepage:
• Size: 144 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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.