Marcus Hutter

It's the best you can do.

So if something is unpredictable, Solomonov will also not magically predict it.

But if there is some pattern and predictability, then Solomonov induction will figure that out eventually, and not just eventually, but rather quickly, and you can have proof convergence rates.

whatever your data is.

So there's pure magic in a sense.

What's the catch?

Well, the catch is that it's not computable and we come back to that later.

You cannot just implement it even with Google resources here and run it and predict the stock market and become rich.

And so let's go to the actions now.

But actually good that you asked.

Usually I skip this part, although that is also a minor contribution, which I did.

So the action part, but I usually sort of just jump to the decision part.

So let me explain the action part now.

Thanks for asking.

So you have to modify it a little bit.

by now not just predicting a sequence which just comes to you, but you have an observation, then you act somehow,

And then you want to predict the next observation based on the past observation and your action.

Then you take the next action.

You don't care about predicting it because you're doing it.

And then you get the next observation.