Some of this is explained on the Snowie website. e.g.
https://www.pokersnowie.com/about/te...-training.html
It used an artificial neural network and basically "brute-forced" its results by simulating billions of hands in order to create a database of EV values for each combo on each board texture against the "random" agents it played against. When it learns that an action loses money (i.e. is -EV), it removes that action from its decision tree (i.e. it folds hands that it thinks are unprofitable as bets/calls/raises).
True GTO appears to utilize multiple bet-sizes with different parts of a range. Snowie, however, uses one bet-size for each situation, and it's the size that is
best for the range as a whole, rather than for a particular combo. e.g. The nuts on the river might maximise EV by shoving 3x pot, but if Snowie thinks the entire range gets a better result overall
on average by betting small, then Snowie will pick a small size for
every hand it bets.
I think a GTO solution is the one that maximises the EV of your range, or your entire strategy. Solvers will do this by "range-splitting" (having multiple bet-sizes, with each sub-range being balanced to some extent). Snowie simplifies by picking one size. This presumably makes it slightly exploitable/sub-optimal, since in the vacuum of one hand it could be "leaving money on the table" by betting small with a hand that could win more by sometimes betting bigger.
The short answer to question 3 is YES. When you open AA and JTs for the same size UTG, it's because you want to get max value with aces (and you'll get action, because villains know you might have JTs and other weaker hands) but you also have a slightly positive EV with JTs, because villains know you might also have aces, so they have to give your open some respect (e.g. you might steal the blinds UTG with jack high). In effect, both hands are +EV, because your range is balanced. If you only played aces, or used different sizes for AA and JTs, there would be no balance and you wouldn't get action.
Last edited by ArtyMcFly; 07-04-2018 at 08:16 AM.