# Decoupling Gradient-Like Learning Rules from Representations

Philip ThomasChristoph DannEmma Brunskill

In machine learning, learning often corresponds to changing the parameters of a parameterized function. A learning rule is an algorithm or mathematical expression that specifies precisely how the parameters should be changed... (read more)

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