[mattmaroon]

I don’t believe it. There are just as many variables involved in writing a short story.

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.

[JohnMakin]

You can feel all you want - there is no evidence this is happening.It would be massive news in the professional community. You’d need a comprehensive GTO strategy which doesn’t really exist, especially in multiway pots. Best we have right now are GTO (game theory optimal) solvers which need tons of assumptions plugged into them and require enormous amounts of memory and time to spit out results, and we still don’t really understand a lot about the underlying theory.

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.

[luxcem]

You don't even need training data, a bot that play itself à la AlphaZero will eventually collect more data than there are of actual games.

[teapot7]

> I don’t believe it. There are just as many variables involved in writing a short story.

Surely you're not implying that writing a good short story is a solved problem for computers?