Poker AI Comparisons
Commenters repeatedly analogize AI strategies, game challenges, and optimal play to poker, emphasizing its unique aspects like imperfect information, bluffing, randomness, and multi-player complexity compared to games like chess or Go.
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Learn to play poker. Against humans and not online.
It's like poker. You can play optimally and still lose. You're just maximizing the odds in your favour.
Maybe unrelated but is it good at poker?
Sounds like a poker approach to chess.
On a poker game that would help.
You know you're talking about a poker player, right? That's not pure chance at all.
not really a paradox. learn to play poker.
AI 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 sta
It almost sounds like you are describing a poker game :)
Could someone explain how Poker is more challenging that games like Go? Please eli5.