this post was submitted on 11 Jul 2024
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submitted 4 months ago* (last edited 4 months ago) by [email protected] to c/[email protected]
 

~~Physics~~ Math be like…

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[–] [email protected] 1 points 4 months ago

Reinforcement learning is a machine learning (ML) technique (“AI” in layman terms) for optimizing neural networks and other types of non-linear models.

As far as ML math goes, this is fairly tame. It looks complicated, but is spelled out clearly in the paper. A lot of these kind of theoretical papers — things that would get published in Automatica — are going to lean very heavy on math.

Source: PhD in Computer Science with dissertation using neural networks.