Thanks.
I'll try and explain a bit more why I am not very interested in probabilities and DTs. I am interested in how decisions are made, but I am far more interested in how an agent gets to have a certain model in the first place (before it is converted into an action). With a finite agent there are questions such as why have model X rather than Y. Which I think impinges on the question on what topics we should discuss. I'd view most people not having a low probability that DTs are important, but simply not storing a probability for that preposition at all. They have never explored it so have no evidence either way.
The model of the world you have can dominate the DT, in determining the action taken. And in the end that is what we care about, the action taken in response to the input and history.
I also think that DT with its fixed model ignores the possibility of communication between the bit running through the model and picking an action and the bit that creates the model. For example if I see a very good contest/offer I might think it too good to be true, and look for more information to alter my model and find the catch before taking the offer up.
For example if I see a very good contest/offer I might think it too good to be true, and look for more information to alter my model and find the catch before taking the offer up.
How is this case different from any other decision? You compute the current probabilities for this is a fraud and this is an unusually good deal. You compute the cost of collecting more data in a specific fashion, and the probability distribution over possible futures containing a future version of you with better knowledge about this problem. You do the same for various altern...
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