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Mastering Uncertainty: An Effective Approach to Training Machines for Real-World Situations

Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own. Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great tennis player, there are times when tr

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