
Google’s machine learning researchers have automated the automation again. The company last week showed off an algorithm tweak that gives robots foresight and caution, so they don’t require humans to reset them during learning sessions. A deep learning network typically gains proficiency at a task, like controlling a robotic factory arm or keeping a car on the road, through repetition. This is called reinforcement training, and it’s powered by machine learning algorithms. Google, armed with fancy new algorithms, has eliminated the need for a person to hit the ‘reset button’ when AI fails an experiment. It might not seem monumental…
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