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by Paul Christiano 761 days ago | link | parent

What kind of object is \(Q\)? (I assume its not a string.) Are you directly specifying a distribution of preferences conditioned on observations? Are you specifying a distribution over observations conditioned on preferences and then using inference?

I assume the second case. So given that \(Q\) is a predictive model, why wouldn’t you also use \(Q\) as your model for planning? What is the advantage of using two separate models? Has anyone proposed using separate models in this way?

To the extent that your model \(Q\) is bad, it seems like you are just doomed to perform badly, and the you either need to abandon the model-based approach or come up with a better model. Adding a second model \(P\) doesn’t sound promising at face value.

It may be interesting or useful to have two models in this way, but I think it’s an unusual architecture that requires some discussion.



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