AI Learns to Escape Extreme Maze

AI Escapes a Labyrinth

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In this video an AI Warehouse agent named Albert learns to escape various mini mazes in a giant maze. The AI were trained using Deep Reinforcement Learning, a method of Machine Learning which involves rewarding the agent for doing something correctly, and punishing it for doing anything incorrectly. Albert's actions are controlled by Neural Networks that are updated after each attempt in order to try to give Albert more rewards and less punishments over time

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