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] 105 points 4 months ago* (last edited 4 months ago) (2 children)

Its about a certain form of reinforced learning, called Temporal Difference Learning:

https://inria.hal.science/hal-00840470/document at page 11.

The calculation is called simple because it follows directly from the definitions above. Simple means more like "follows directly from definition without fancy math tricks", not " everyone who can read could solve this in 10 minutes".

I think this is also mostly math related, not physics?

I had a good laugh anyway. Good meme

[–] [email protected] 12 points 4 months ago

We've got the time dependent polar Schrödinger equation any time we want to pull out a ridiculous looking equation in pre-graduate level physics.

[–] bluemellophone 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.