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Gradient descent finds a solution to the problems a model has seen; nothing in the algorithm makes it pick the one that generalises well.

Drawn from what Richard Sutton said

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What Richard Sutton actually said

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  1. Richard Sutton

    Computer scientist who founded the field of reinforcement learning

    Well, there's nothing in them which will cause it to generalize. Well, the gradient descent will cause them to find a solution to the problems they've seen. And if there's only one way to solve them, you know, they they'll do it. But there are many ways to solve it. Some which generalize well, some which generalize poorly. There's nothing in them in the algorithms that will cause them to generalize well.

Added to korrents 26 Sept 2025 · How quotes work · Something wrong? Tell us

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