Surely nobody is surprised? Perfect knowledge of probabilities, no emotion and immune to bluffing.
> immune to bluffing There's no such thing. An algorithm playing straight hand value based on probabilities is more susceptible to bluffing, not less. And this is no limit, where a single hand can swing all the chips. Any poker AI that isn't a loser is going to have some pretty sophisticated modeling of the opponent.
It makes much more sense for the strategy space to be the set of probability distributions over game moves (i.e. mixed strategies).
I think that the optimal mixed strategy for each hand is immune to bluffing (over many hands it will have larger expected winnings against a bluffer). If that wasn't the case, there would exist no Bayes-Nash equilibrium for the game, contradicting Nash's theorem.