Watch a neural net learn to play Snake

In plain words

This is an in-browser demonstration of reinforcement learning where users can watch a neural network train in real-time to play Snake. It uses PPO (Proximal Policy Optimization) and runs directly in the browser by converting tinygrad's TinyJit compiler output to WebGPU kernels for GPU acceleration. The project is intended for anyone interested in seeing machine learning training happen interactively without requiring local installation. It requires a browser with WebGPU support to function.

written from the facts on this page · September 2026

• BP
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