Marcus Hutter

speaker

912 appearances 1 recordings 1 series first heard Feb 2020 last heard Feb 2020

Marcus Hutter’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

No recordings in the last 12 months.Older appearances are listed below; set an alert to hear about the next one.

Appearances

newest first · ▶ plays the moment

Lex Fridman Podcast · #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI · 26 Feb 2020 podcast

So the theory is really great.

With the ICSI model, with the planning part,

Many results are only asymptotic, which, well, this is... What does asymptotic mean?

Asymptotic means you can prove, for instance, that in the long run, if the agent acts long enough, then it performs optimal or some nice thing happens.

But you don't know how fast it converges.

So it may converge fast, but we're just not able to prove it because it's a difficult problem.

Or maybe there's a bug in the model so that it's really that slow.

So that is what asymptotic means, sort of eventually, but we don't know how fast.

And if I give the agent a fixed horizon M, then I cannot prove asymptotic results, right?

So I mean, sort of if it dies in 100 years,

then 100 years is over, I cannot say eventually.

So this is the advantage of the discounting that I can prove asymptotic results.

It's like with the playing chess, right?

You do this minimax.

In this case here, do expectimax based on the Solomonov distribution.

You propagate back, and then while an action falls out, the action which maximizes the future expected reward under Solomonov distribution, and then you just take this action.

And then repeat.

And then you get a new observation and you feed it in this action and observation, then you repeat.

So when I started in the field, I was always interested in two things.

One was AGI.

Showing 481–500 of 912 · page 25 of 46