https://github.com/dfriend01/atari-drl
An implementation of a Deep Reinforcement Learning model that trains an agent to play Atari 2600 games.
https://github.com/dfriend01/atari-drl
atari atari2600 deep-learning deep-q-learning machine-learning qlearning reinforcement-learning
Last synced: 6 months ago
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An implementation of a Deep Reinforcement Learning model that trains an agent to play Atari 2600 games.
- Host: GitHub
- URL: https://github.com/dfriend01/atari-drl
- Owner: DFriend01
- License: mit
- Created: 2021-06-30T02:32:20.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-25T18:35:02.000Z (about 4 years ago)
- Last Synced: 2025-03-29T07:05:28.631Z (7 months ago)
- Topics: atari, atari2600, deep-learning, deep-q-learning, machine-learning, qlearning, reinforcement-learning
- Language: Python
- Homepage:
- Size: 10.4 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 0