ShivamGupta92/Reinforcement_learning_SnakeGameAI
Deep Q-Networks (DQN) to train an AI agent to play the Snake game. The AI controls the snake, making decisions in real-time to maximize its score while avoiding collisions. The agent learns to improve its performance by playing multiple games and adjusting its strategy based on rewards and penalties.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 17, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ShivamGupta92/Reinforcement_learning_SnakeGameAI"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
chynl/snake
Artificial intelligence for the Snake game.
Eliastik/snakeia
A modern Snake game featuring an artificial intelligence powered by Deep Q-Learning...
ZYunfeii/DRL4SnakeGame
Using deep reinforcement learning to play Snake game(čīŠåč).
hayderkharrufa/snake_pathfinding_ai
AI plays snake game using BFS (Breadth-First Search) algorithm.
italohdc/LearnSnake
ð AI that learns to play Snake using Q-Learning (Reinforcement Learning)