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Tempest AI – Teaching a Neural Network to Play a 1981 Arcade Classic

github.com

2 points by Stratoscope 23 days ago · 1 comment

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StratoscopeOP 23 days ago

From the README:

> Tempest AI is a reinforcement learning system that learns to play Atari's Tempest (1981) by watching the game run inside the MAME arcade emulator. A Lua script reads the game's memory every frame, a Python application trains a neural network on the GPU, and the network's decisions are fed back to the game controls — all in real time, at thousands of frames per second.

> This README explains the architecture for programmers who may not be deep-learning specialists. No prior RL knowledge is assumed.

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