AI Teaches itself to Climb Up and Down Stairs!

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In this video an AI Warehouse agent named Albert learns how to walk up and down stairs and get through other obstacles to escape. The AI was 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 a Neural Network that's updated after each attempt in order to try to give Albert more rewards and less punishments over time. Check the pinned comment for more information on how the AI was trained!

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