Intelligent Agent Foundations Forumsign up / log in
by Abram Demski 188 days ago | Sam Eisenstat and Jack Gallagher like this | link | parent

I think AsDT has a limited notion of convergent problem. It can only handle situations where the optimal strategy is to make the same move each time. Tail-dependence opens this up, partly by looking at the limit of average payoff rather than the limit of raw payoff. This allows us to deal with problems where the optimal strategy is complicated (and even somewhat dependent on what’s done in earlier instances in the sequence).

I wasn’t thinking of it as introducing artificial logical uncertainty, but I can see it that way.



by Sam Eisenstat 187 days ago | link

Yeah, I like tail dependence.

There’s this question of whether for logical uncertainty we should think of it more as trying to “un-update” from a more logically informed perspective rather than trying to use some logical prior that exists at the beginning of time. Maybe you’ve heard such ideas from Scott? I’m not sure if that’s the right perspective, but it’s what I’m alluding to when I say you’re introducing artificial logical uncertainty.

reply

by Abram Demski 186 days ago | link

I don’t think it’s much like un-updating. Un-updating takes a specific fact we’d like to pretend we don’t know. Plus, the idea there is to back up the inductor. Here I’m looking at average performance as estimated by the latest stage of the inductor. The artificial uncertainty is more like pretending you don’t know which problem in the sequence you’re at.

reply



NEW LINKS

NEW POSTS

NEW DISCUSSION POSTS

RECENT COMMENTS

This is exactly the sort of
by Stuart Armstrong on Being legible to other agents by committing to usi... | 0 likes

When considering an embedder
by Jack Gallagher on Where does ADT Go Wrong? | 0 likes

The differences between this
by Abram Demski on Policy Selection Solves Most Problems | 0 likes

Looking "at the very
by Abram Demski on Policy Selection Solves Most Problems | 0 likes

Without reading closely, this
by Paul Christiano on Policy Selection Solves Most Problems | 1 like

>policy selection converges
by Stuart Armstrong on Policy Selection Solves Most Problems | 0 likes

Indeed there is some kind of
by Vadim Kosoy on Catastrophe Mitigation Using DRL | 0 likes

Very nice. I wonder whether
by Vadim Kosoy on Hyperreal Brouwer | 0 likes

Freezing the reward seems
by Vadim Kosoy on Resolving human inconsistency in a simple model | 0 likes

Unfortunately, it's not just
by Vadim Kosoy on Catastrophe Mitigation Using DRL | 0 likes

>We can solve the problem in
by Wei Dai on The Happy Dance Problem | 1 like

Maybe it's just my browser,
by Gordon Worley III on Catastrophe Mitigation Using DRL | 2 likes

At present, I think the main
by Abram Demski on Looking for Recommendations RE UDT vs. bounded com... | 0 likes

In the first round I'm
by Paul Christiano on Funding opportunity for AI alignment research | 0 likes

Fine with it being shared
by Paul Christiano on Funding opportunity for AI alignment research | 0 likes

RSS

Privacy & Terms