snake and example.snake.AI
These are ecosystem siblings—one is a reference AI implementation for the Snake game, while the other is an example application demonstrating neuro-evolution techniques applied to the same domain, both serving as educational resources in the same technical space.
About snake
chynl/snake
Artificial intelligence for the Snake game.
This project develops and evaluates different AI strategies for the classic Snake game. It takes in game parameters and an AI algorithm, then outputs metrics like the snake's average length and number of steps taken. This is for game developers, AI researchers, or enthusiasts interested in comparing and understanding game-playing AI.
About example.snake.AI
liquidcarrot/example.snake.AI
Using neuro-evolution to play Snake! ♥
This project demonstrates how artificial intelligence can learn to play the classic game Snake. It takes the game's state as input and produces game-playing decisions, ultimately showing how an AI can master simple games through trial and error. Anyone interested in observing AI learning in a game environment would find this compelling.
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