I don't really want to get into the whole what is GTO thing and whether it's a good or a bad thing.
So here are my assumptions when asking this question:
- The AI players NLHE.
- This GTO AI will play completely unexploitable.
- It will not adjust to opponents in any way.
- If matched against another perfect GTO AI they will be dead even after playing an infinite amount of hands.
Now would this GTO AI make money playing against random people?
If so, from which plays or situations would this money be made?
The whole point of the AI is to play unexploitable, or perfectly balanced.
When making a bet, it will have the value/bluff percentages perfectly balanced.
So against someone who calls too often, it's going to lose EV when bluffing, but regain that EV when value betting?
Against someone who folds too often, it's going to gain EV when bluffing, but lose that EV again when value betting.
So where does the EV come from? Or would this GTO AI just be dead even against any random player after an infinite amount of hands?
I'm not asking if GTO is useful or not. I'm just wondering if and how it would make money while playing unexploitable or completely balanced.
I also realize it's not possible for a human to play perfect GTO and I'm pretty sure there are no AI's that play perfect GTO atm, though I could be wrong there.
Comparing this to a rock, paper, scissors AI makes it really obvious.
I'm not sure if the same logic applies to poker, because the game is much more complicated.
If you have an AI that plays perfect GTO, it will randomly play rock, paper and scissors 1/3th of the time.
And you can immediately see how this wouldn't win against even the worst players who play rock 100% of the time as an example.
The AI will win 1/3th of the time, it will lose 1/3th of the time and it will draw 1/3th of the time.
No matter what strategy is used against this AI, it will win, lose and draw the exact same amount.
If we were playing this for money, we would be losing, since we pay rake.
How is poker different? Is it different?
Last edited by Yeodan; 09-18-2020 at 06:13 AM.