OK. Fine. Point taken. There is a simple fix though.
MBOT^X(Y) = X’(MBOT^X) where X’ is X but with randomized irrelevant experiences.
In order to produce this properly, MBOT only needs to have your prior (or a sufficiently similar probability distribution) over irrelevant experiences hardcoded. And while your actual experiences might be complicated and hard to predict, your priors are not.
OK. Fine. Point taken. There is a simple fix though.
MBOT^X(Y) = X’(MBOT^X) where X’ is X but with randomized irrelevant experiences.
In order to produce this properly, MBOT only needs to have your prior (or a sufficiently similar probability distribution) over irrelevant experiences hardcoded. And while your actual experiences might be complicated and hard to predict, your priors are not.