zhebrak/neuro_pong
Atari Pong meets Neuroevolution
This project lets you observe how a computer program can learn to play the classic game Pong through a process inspired by biological evolution. You provide the game environment, and the system shows you how virtual 'brains' can develop strategies to control the paddle. It's designed for anyone curious about artificial intelligence and how simple rules can lead to complex learned behaviors.
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Use this if you want to visualize and understand basic principles of neuroevolution and machine learning in an engaging, game-based context.
Not ideal if you're looking for a tool to develop or train sophisticated AI for complex real-world applications.
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Language
JavaScript
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Last pushed
Dec 21, 2016
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