https://github.com/amabna/snake-game-with-rl
SnakeRL is a Python project implementing the Snake game with Deep Q-Learning. The agent learns to navigate, collect food, and avoid collisions using a neural network, dynamic rewards, and customizable settings. Perfect for exploring RL and game AI.
https://github.com/amabna/snake-game-with-rl
ai artificial-intelligence deep-learning deep-q-learning deep-q-network n-step-deep-q-learning neural-network neural-networks q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms reinforcement-learning-environments
Last synced: about 2 months ago
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SnakeRL is a Python project implementing the Snake game with Deep Q-Learning. The agent learns to navigate, collect food, and avoid collisions using a neural network, dynamic rewards, and customizable settings. Perfect for exploring RL and game AI.
- Host: GitHub
- URL: https://github.com/amabna/snake-game-with-rl
- Owner: amabna
- License: mit
- Created: 2025-09-23T06:17:36.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-09-23T06:31:36.000Z (2 months ago)
- Last Synced: 2025-09-23T08:27:11.689Z (2 months ago)
- Topics: ai, artificial-intelligence, deep-learning, deep-q-learning, deep-q-network, n-step-deep-q-learning, neural-network, neural-networks, q-learning, q-learning-algorithm, reinforcement-learning, reinforcement-learning-agent, reinforcement-learning-algorithms, reinforcement-learning-environments
- Language: Python
- Homepage:
- Size: 3.04 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0