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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 1 month ago
JSON representation
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 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-11T08:12:44.000Z (about 2 years ago)
- Last Synced: 2023-04-25T11:45:02.854Z (over 1 year ago)
- Topics: atari-2600, atari-breakout, deep-learning, deep-q-learning, deep-reinforcement-learning, openai-gym
- Language: Jupyter Notebook
- Homepage:
- Size: 144 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0