reinforcement learning

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The Department of EECS announces new Career Development chairs

July 25, 2024

The career development chair recipients are Cheng-Zhi Anna Huang, Kuikui Liu, Marzyeh Ghassemi, Kaiming He, and Alexander Rives.

A more effective way to train machines for uncertain, real-world situations

June 15, 2023

Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.