here’s a conjecture: biological learning is never unsupervised. Rather, its goal is to learn representations that are useful for future behavior. @AstroKatie @AToliasLab @danilobzdok
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2) unsupervised, e.g., predictive, learning to keep certain representations around, which then happens to make it easier to learn from external rewards https://arxiv.org/abs/1803.10760
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3) my favorite, highly specific internal loss functionspic.twitter.com/X0Zc65LdvV
End of conversation
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yes, exactly that it seems! i should have known jascha already wrote this down :)
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