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Google DeepMind's 'RoboCat' agent enables robots to quickly adapt and learn new skills, whether it be solving puzzles or playing video games. It achieves this by leveraging DeepMind's Gato model, which is capable of processing language, images and actions in simulated as well as physical environments. What the researchers found was that it was able to acquire new tasks with as few as 100 demonstrations, thanks to its ability to draw from a large and diverse dataset. They cam up with a five step process to help 'RoboCat' train robots to learn new tasks, starting by collecting 100-1000 demonstrations of
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