Read more.And runs twice as fast on a gaming laptop as a rival $10m supercomputer system.
Read more.And runs twice as fast on a gaming laptop as a rival $10m supercomputer system.
From a game theory point of view, it doesn't actually take that much skill to beat certain professionals, who look to exploit the low-hanging fruit in the form of awful players, and you can in turn exploit them. People are also bad at adapting in a truly random fashion, something AI has always held as an advantage over them, so it's not a particularly big deal and AI has been beating professional players for a while. This is of interest because it's no-limit as opposed to limit, in other words the range of choices isn't limited to 'bet, check, raise, fold, call', but when betting or raising, includes amounts as well, effectively turning the game from discrete to continuous. Under these conditions human instinct initially does better than AI, but once AI catches up, it gives it more scope for crushingness.
What's interesting to me is that a self-learning AI tends towards strategies previously considered 'outdated' by high-level human players, and they are now attempting to incorporate them into their respective games.
Online poker will never fully die, the less secure sites may see their traffic drop when people are effectively unable to win without programming their own bots. Thus far the industry hasn't been sufficiently incentivized to keep bots and other forms of cheating (card-sharing via internet messenger) minimized, and it could well be by the time they have done so, their supply of fresh blood will mostly drain out, meaning we'll see a ton of consolidation.
Not sure how this is anything new given you can play heads up with nash equilibrium strategy...
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