Due to advancement of theory and study and popularity over the last ~20 years though, it's definitely much harder to be successful than it used to be.
Due to advancement of theory and study and popularity over the last ~20 years though, it's definitely much harder to be successful than it used to be.
Anyone who thinks machine learning can’t conquer poker is fooling themselves. I used to have bots collect every hand played on major poker sites in the early aughts so I’m sure there’s infinite training data.
And if it can be done we know there’s sufficient financial incentive. So I (former long time professional poker player) feel reasonably confident online poker must be unwinnable by now.
It doesn’t matter how many hands you “train” something on. Poker is a game of incomplete information and many assumptions must be made about an opponent’s range, bluff frequency, etc. One small tweak in assumptions and the entire GTO output changes with solvers. It’s very difficult to get these assumptions right. As I said it’s an unsolved game. Even the GTO solvers only work in 1 on 1 pots (assuming the assumptions you’re working with are close).
Respectfully, although you claim to be a former online professional (I have played for 20 years, at times professionally) - you don’t seem to understand what you are talking about.
Surely you're not implying that writing a good short story is a solved problem for computers?