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In deep learning, human effort is very much a part of the equation when it comes to formalizing tasks and collecting data. With learning algorithms for active learning, Dr. Phil Bachman aims to move some of that work from the person to the machine: https://aka.ms/AA6qhki

microsoft.com
Episode 101 | December 4, 2019 - Deep learning methodologies like supervised learning have been very successful in training machines to make predictions about the world. But because they’re so dependent upon large amounts of human-annotated data, they’ve been difficult to scale. Dr. Phil Bachman...

The Game Intelligence group seeks current PhD students with experience in reinforcement learning, game AI, or related fields. Apply now to help tackle challenges that arise in applications of RL to modern video games: https://aka.ms/AA6qllh

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