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I'm not even familiar with the rules but I wonder: If AI can win in Chess and Go should it not win in Poker too? And when you have online poker, it should be po
by galaxyLogic 3y ago
I'm not even familiar with the rules but I wonder: If AI can win in Chess and Go should it not win in Poker too? And when you have online poker, it should be possible to ask the AI on your laptop to play it for you? Is that what online Poker players do?
- rrr_oh_man 3y agoYes, yes, and: yes.
- dec0dedab0de 3y agoAI is a problem, but unlike Chess and Go, Poker involves each player having information that is unknown to the other players, and actively misrepresenting it.
- galaxyLogic 3y agoI see. That's a notable distinction. You got know when to hold them, and when to fold them :-)
- krukah 3y ago100% possible. I'd ~bet~ that 99% of online poker cash games are adversarially against various forms of AI. The future of online play will be catered more toward teaching, solving, and tracking hands, rather than playing competitively for profit. I recently started a side project in Rust to do just that, mainly for love of the game and desire to learn the language. Hoping to release later this year and perhaps productize if it gains traction.
- slymon99 3y agoI would sell that 99% number for a six figure sum if you'd like to define terms, an arbiter, and setup escrow.
- slymon99 3y agoThe other answers here are fairly uninformed. AI has been reliably beating humans in NHLE since 2019 with just deep learning [1], modern solvers can play within a small epsilon of a nash equilibrium (a perfect strategy) and are effectively unbeatable. Referencing a solver while playing (what people call real-time assistance or RTA) is definitely a problem in online poker and is always prohibited. Solvers however play in a fairly predictable way and poker sites can detect if people are using them, though I'd imagine imperfectly. Saying that 99% of online poker is vs AIs is a hilarious overstatement. [1] https://www.science.org/doi/10.1126/science.aay2400 https://www.science.org/doi/10.1126/science.aay2400
- marksimi 3y agoThe paper referenced here is well beyond “just deep learning”.
- galaxyLogic 3y agoMakes me think the AI should know and learn to try to play more like humans, so it doesn't get detected. AI needs to make itself look more stupid than it really is, to win in this game. And perhaps that has been part of Poker always, not "revealing your cards". But it feels to me a bit awkward that I can't use all the tools that could help me play a better game. But of course rules are rules. In Formula-1 you can only drive a specific type of car. But the car-machine still helps you move faster. The car has a cockpit and I assume it is much computer controlled.
- tysonfurytoo 3y agoThere's been a surge in discussion of online cheating in poker. some online poker players certainly use real time assistance. There's also bots grinding online too. The prevalence is an open question, though. I imagine it's rather high since there's a huge incentive to cheat.
- JohnMakin 3y agoThere have been effectively unbeatable 1v1 limit hold’em bots online for at least 15 years - this has been a problem for a long time. Poker popularity ebbs and flows, we seem to be in a bit of a “boom” period right now.
- eclark 3y agoYes AI will solve this. Right now because it's a hidden information game it's not as solved. Alberta Uni has done some great work here. I'm trying to work on this myself in my spare time.
- britzkopf 3y agoI've had a very long standing debate with friends about the nature of poker. I'm neither a statistician, game theorist, nor mathematician so I'm very open to being corrected. My intuition having played recreationally is that the absolute optimal move in poker is relatively trivial to calculate compared to chess/go. That is to say, most experienced players would reach this threshold without too much training. Obviously, what makes poker fun/interesting is that you are trying to guess the strategies of other players, based on your interpretation of their behaviour, and react accordingly. If all that is true, then I would submit, that at any sufficiently high (i.e. non beginner) competitive level it probably comes down to luck, since I don't really believe that the second skill described is really learnable. So when we say "John is the world poker champion for 10 years running and is obviously far better than any mid tier player" are we not saying, essentially, that John is a human polygraph machine. Why, then, is that absolutely astounding skill not being harnessed for something else?
- marksimi 3y ago> are we not saying, essentially, that John is a human polygraph machine No we are not. Poker skills (even at a high level) go beyond live tells.
- britzkopf 3y agoBut if we accept the mathematics of poker are not that complicated, then are those other skills not highly generalizable to any job requiring extraordinary insight into human behaviour?
- kuboble 3y agoplaying good theoretical poker is very complicated. People spend thousands of hours trying to grasp it. In a 100BB 6-max game in a single raised pot BTN vs loose player on Bb, who called your raise: is the J83r a good flop for a small bet? Maybe a bigger bet is the proper size? This is a simple question that has often a correct answer and the question is different for each flop, for each preflop spot and potentially for different opponents. Now once you have figured out betsizes on the flop - go figure out which actual hands you are supposed to bet. Hmm, you should play most hands with mixed strategy of check and bet, but with different probability distribution so that your distribution of good hands / bad hands on the future streets after called is right on a variety of turn cards. You can spend all life mastering that part alone and we are talking only about the first decision on the flop in single raised pot. Tldr; poker theory is not something easy and quick to master.
- beau_g 3y agoAI has been able to crush heads up (2 player) No Limit Hold Em for a while now and 6 player for a few years. In that time frame though, a lot of other games have gained popularity, and playing a mix of games in the same sessions. AI/solvers are also normally optimized at certain stack sizes (measured in poker as how many big blinds each player has) and do not do as well in very deep stacked games. The trend of playing more games, newer games, and playing deeper will probably continue to stay ahead of AI, and people that study it. I would not play low to mid stakes NLHE online at all on any side at this point personally, just too likely to run into someone using assistance that will crush you easily.