Carnage Mellon University published in Science magazine the 10 000 poker hands played by Pluribus in 6 max no limit holdem against 10 pros. Indeed the impact is so important that the researchers have signed a major contract with the military to use the findings. Anyway, what I care about is the poker. A superhuman poker-playing bot called Pluribus has beaten top human professionals at six-player no-limit Texas hold’em poker, the most popular variant of the game. It is the first time that an. Pluribus’ implications for the future of poker Of course, Pluribus is not the first poker bot ever created. In fact, the code itself is an improved version of a previous program called Libratus. However, Libratus could only accommodate heads-up play. Help me by pressing the like button!Buy me a coffee: see some of the biggest pots played by Pluribus, the AI poker bot.Plu.

Let’s us look at the opening ranges of Pluribus when UTG/LJ, basically first to speak pre-flop; he can fold, limp, or bet… and actually never limps.

Pluribus Poker Bot Github

So the big surprise, if any, in the range is the bet sizes, going from 2BB to 3.5BB. Some of the other pros had a bit of variability there but not that much. Pluribus opens 18.6% from the LJ, which is a bit wider than what we’ve been used to with Snowie and others.

Pluribus Poker Paper

Pluribus Poker

The only “real” surprise in actual hands is probably suited Kings, playing 100% with K8s, maybe with K7s (only 2 hands), and 2/3 of K6s. I find very odd that once each, AKo and JJ were not opened. Then more suited connectors than we usually see, with apparently a dislike for 87s. Obviously in order to open a bit wider, there are a few more offsuit broadways mixed in, like KT/JT at low frequency, and KJ at 55%.

Another surprise for me is there is not that much mixing up the hands, some, but very reasonable. Sizes however are all over the place.

Displaying here ranges with some additional data on number of times Pluribus actually got the hand, percent open with it, and average, min, max bet sizes. Because the statistical significance of frequencies is limited (although not too bad for RFI), it is important to consider how many times Pluribus was in a given situation. For instance, he got AJo 17 times, and bet each time, we can be confident he opens at a high frequency with AJo. On the opposite with T8s, he got the hand 4 times at the LJ, and bet once, so we compute 25% but that could end up being 10% or 50%, all we know is sometimes he bets it, sometimes not.

Pluribus Poker Bot

So it is important to not take percentages for granted. Still the chart gives a very good idea of how Pluribus opens.

Bet sizings are best looked as a distribution with percentage per sizing, in number of BBs. In general I would say sizing lower than what we’re used to, but with a lot of variation with sizes going up to 3.5BB. Either the CFR algorithms never converge on opening sizes so it stays more or less random or there is a real reason. Can’t really see what this achieves, again some of the pros did vary their sizings slightly so there must be a good reason to do it. What do you think ?