A developer built a reinforcement learning AI that plays Snake, averaging 86 points (out of a maximum 87) after less than 10 hours of training on a single free Google Colab T4 GPU. The system runs 4,096 Snake games in parallel on the GPU, combines GPU-native environment simulation with PPO (a reinforcement learning algorithm) and GAE, and uses a CoordConv architecture designed to preserve spatial information across the game grid.
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