https://github.com/assem-elqersh/reinforcement-learning-snake
A Snake game implementation that uses Q-Learning, a reinforcement learning algorithm, to train an AI agent to play the game. The project demonstrates how machine learning can be applied to classic games.
https://github.com/assem-elqersh/reinforcement-learning-snake
game q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms reinforcement-learning-snake-game snake-game
Last synced: 3 days ago
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A Snake game implementation that uses Q-Learning, a reinforcement learning algorithm, to train an AI agent to play the game. The project demonstrates how machine learning can be applied to classic games.
- Host: GitHub
- URL: https://github.com/assem-elqersh/reinforcement-learning-snake
- Owner: Assem-ElQersh
- License: mit
- Created: 2025-05-13T22:09:01.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-05-14T00:21:59.000Z (about 1 month ago)
- Last Synced: 2025-05-14T01:32:22.007Z (about 1 month ago)
- Topics: game, q-learning, q-learning-algorithm, reinforcement-learning, reinforcement-learning-agent, reinforcement-learning-algorithms, reinforcement-learning-snake-game, snake-game
- Language: Python
- Homepage:
- Size: 27.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE