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Sending Humans Down the Drain was Libratus, AI Poker Bot Champ
Inside Libratus, the Poker AI That Out-Bluffed the Best Humans For almost three weeks, Dong Kim sat at a casino and played poker against a machine. But Kim wasn't just any poker player.
Find out all the reasons your not winning more in online poker further below in this article.
No-limit Texas Hold’em is the most popular vari- ant of poker in the world. Heads-up no-limit Texas Hold’em is the main benchmark challenge for AI in imperfect-information games. We present Libra- tus, the first—and so far only—AI to defeat top hu- man professionals in that game. (AI) successes in perfect-information games, the private information and massive game tree have made no-limit poker difficult to tackle.We present Libratus, an AI that, in a 120,000-hand competition, defeated four top human specialist professionals in heads-up no-limit Texas.
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Libratus the best poker bot, an AI Computer Recently Busted out Online Poker Pro Human Players Heads up and Winning in Poker Tournament Action One on One
Libratus Computer Best Poker Bot Wins Poker Tournament Beating Pro Online Players showing the need to own the Best Poker Hud Software Available. Photo Copyright: 123rf.com/profile>ocusfocus
Poker Tournament won by AI Super Computer Poker Bot Libratus. Are Humans Headed to the Toilet and getting flushed away when it comes to Advancement vs Machines? Feelings Will be hurt yet again in human kinds battle against the virtual minds of computers in yet another sport to fall.
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Libratus the Super Computer that wins Poker Tournaments
They even gave the Poker money stealing machine a name!
Its called Libratus. Is that name because it takes your money freely from you in removing your poker chips and cash from you easily? Yup It appears so….Libratus from its roots in Latin means to free, and in this case free us of our money.
What does this mean for poker when a super computer wins poker tournaments vs humans? Are we going to have to worry about bots in the future playing us online to take all our money in cash games?
How will we protect our online play against these super computer machines and bot technology once it becomes available mainstream?
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Well for now I do not think we have to worry, although the way tech jumps forward in leaps and bounds you just do not know how long we will be safe from these super computer bots.
The Good News is that this ai best poker bot super computer was only able to win in heads up poker, and for now if your worried or may feel the need to be worried in the future, just avoid heads up poker as much as you can.
A Suggestion: You could stop playing heads up poker tournament games and forget all about ai super computer poker playing money stealing bots. 🙂 Just play tournaments, cash games and sit n goes. I never did like heads up poker myself anyway.
How did AI super computer win the poker tournaments Against Pro Online Poker Players?
- It used adaptation and changed its strategy as it went along
- Libratus analyzed the poker players individual styles
- It uses 28 Cores on 600 nodes
- It fixes its own holes in its strategy when players find them
Who did the Best Poker Bot Libratus win the poker tournaments against?
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Poker Players sent to the rail by AI Computer Poker Bot were:
- 4 Players including these two in the video
- Don Kim Playing Professionally for 8 years
- Jason Les Playing poker for approx 13 years
- Also playing were McAulay and Chou
- Previously both Les and Kim had played and beaten another AI called Claudico a few years back so they have credibility
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What did the Professional Online Human Poker Players do in the Poker Tournament Heads up against Libratus?
- Played 30,000 hands over 200 hours in 20 days in a row
- Tried a 3 bet strategy when they thought they found a hole in the bots play but it failed to work
- Tried reraising every bet
- Played exhaustively until finally admitting defeat decisively on the side of the ai super computer in the heads up poker tournament
- Libratus won by more than 1.56 million virtual chips
Did Pro Poker Players waste time and get it all wrong against the Computer Poker Pro Libratus?
They Played the Poker Tournament at Pittsburgh’s Rivers Casino for the showdown and although they tried different strategy, perhaps they wasted opportunities with these betting strategies.
Maybe these poker player professionals should have done something different every hand like the best poker bot known as Libratus was doing. Mixing up play continuously instead of pounding on perceived weak holes. Who knows. Perhaps that all they could do out of frustration with the ai super computer beating them down continuously.
Poker Players Getting it wrong without Poker Software to Guide Them
Playing Online Poker Without HUD Software Copyright: www.123rf.com/profile_Elnur
Humans Vs. Super Computers playing Poker Tournaments now decided with Win by Libratus.
Where do we go from here?
For one thing it proves that if you play online you better have a Poker hud software program of some kind or you are at a big disadvantage.
Why do you need a Good Poker HUD? (Heads up Display)
Because these tournament poker players playing against Libratus were adaptive and winning online poker players and always used huds to win online themselves against other players.
They noticed a big hole in their abilities when they did not have a hud against Libratus to help guide them like they were used to using against other human players.
Yet Libratus is one giant poker player HUD in of itself. It analyzed its own play and found its own holes as well as collecting stats and information on the human Poker players it played against.
Winning Online Poker Players Use The Best Poker Hud Software
Therefore Poker Huds offer an unfair advantage to those that have and use them vs. those that do not. If you play poker online you may have one already. If you don’t, get one now or don’t start crying once people sit down at your table to exploit your stats and playing style against you AND bleeding you dry.
Next time you go to reload cash in your poker account think about What I Just Said. Maybe part of that deposit should go to some HUD Software and HUD Add Ons for your game type. Be the Shark NOT the Fish!
Sharks use Holdem Manager or Poker Tracker the 2 Best Poker Software HUDS
Man Playing Cards Online Winning With Poker Hud Software Copyright: www.123rf.com/profile_Prometeus
Get one of the Best Poker Huds or Get Out of Online Poker.
Just play Live or Free Rolls Online Instead because you are at a big disadvantage. Especially so in the shark filled waters of sites like Poker Stars. Get Poker Tracker 4 and start using it to win, then add on to it for your niche, like sit n goes, tournaments, cash games… Do it seriously.
Choose 1 or Both Pokertracker computer software tools and start being your own winning poker bot
Get a Poker Trakcr HUD display Free Trial and up your game. Or Choose Holdem Manager Poker Tracker Hud Free Trial or Try both for 30 days free, they both do the same thing, only you may like one interface better than the other. As Libratus shows computer software analyzing play is the way to get a jump on your opponents like this computer did against the non software using human opponents. We like em both, Poker Tracker and Holdem Manager. The Poker Hand Man picks Poker Tracker 4 but you may also be able to beat him using Holdem Manager, but you wont beat him or anyone else consistently and profitably without one of them.
Although we may be okay in online poker vs machines for now if you are however getting the least bit nervous about Libratus and Poker Bots like it, and do not want to invest the small amount required for a HUD, then Switch to Live Poker Tournaments. Find the Best here at the WSOP and the WPT or play at your local casino. Or again like mentioned before, if serious about Online Poker get a HUD!
Pokerhands recommends if you don’t listen to any thing else we say on the site at least listen to this. Remember that the next time you wonder why you are getting raised and bet off of hands, losing hands on turn and river cards, and not getting max value from your monster hands, its probably because your opponent is like Libratus and knows all about your play from a PokerTracker Best Poker Hud. Don’t you think you should know about theirs also?
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The blueprints for Libratus – the poker AI bot that crushed professional players in a Texas hold ’em tournament earlier this year – were published on Monday in a research paper.
The software's victory over humans sparked a lot of headlines as it demonstrated a computer mastering an imperfect information game. Unlike chess or Go where players can see all the board pieces at all times, poker players have to come up with a strategy based more on probabilities since they do not know their opponent’s cards.
Libratus emerged as the clear victor after playing more than 120,000 hands in a heads-up no-limit Texas hold ’em poker tournament back in February. The machine crushed its meatbag opponents by 14.7 big blinds per game, drawing in $1,776,250 in prize money.
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Now, a paper published in Science reveals how Libratus was programmed. The approach taken by its creators Noam Brown, a PhD student, and Tuomas Sandholm, a professor of computer science, both at Carnegie Mellon University in the US, employed three algorithms.
“Our game-theoretic approach features application independent techniques: an algorithm for computing a blueprint for the overall strategy, an algorithm that fleshes out the details of the strategy for subgames that are reached during play, and a self-improver algorithm that fixes potential weaknesses that opponents have identified in the blueprint strategy,” the pair's paper stated.
The first algorithm was briefly discussed after the competition as “counterfactual regret minimization.” It modeled a simpler version of poker – heads-up pot-limit Texas hold 'em – using a precomputed decision tree containing about 1013 nodes – much smaller than the 10161 nodes needed to cover all possible unique decisions in a no-limit game – and gradually learned to pick the best moves from the tree by playing simulated match after simulated match.
Flushed away
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Similar hands were grouped together, Brown explained this week: 'Intuitively, there is little difference between a King-high flush and a Queen-high flush. Treating those hands as identical reduces the complexity of the game and thus makes it computationally easier.” Also, betting, say, $100 or $101 is basically the same, so again, the betting decisions could be simplified.
So, essentially, Libratus started off with a fairly simple weighted decision tree from which to select its moves depending on its hole cards and those on the board.
Next, to elevate the software to superhuman level, it would whip out a more advanced strategy in the latter betting rounds during a hand. Once play had reached that point, a more detailed, fine-grained abstraction model of Texas hold 'em would be produced in real time to best win the hand. This algorithm was dubbed 'nested subgame solving.'
Dong Kim, one of Libratus’ opponents, previously said the competition was “extremely tough as the AI keeps getting better.” This is where the third algorithm came in: Libratus wasn't just trained offline once and used inference to make decisions in real-time during hands – it had a “self-improver” module to refine its decision-making processes.
It used machine learning to fill in missing branches of the overall 'blueprint' decision model based on its opponents' moves. “In principle, one could conduct all such computations in advance, but the game tree is way too large for that to be feasible,” the paper stated.
By watching how its human rivals played, Libratus fleshed out the relatively simple 'blueprint' decision tree with extra nodes to help it win hands against those opponents. It would analyze the frequency of its opponents' bet sizes, and update itself overnight, improving throughout the competition.
Felted! AI poker bot Libratus cleans out pros in grueling tournament, smugly trousers $1.8m
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READ MORELibratus is computationally expensive, and was powered by the Bridges system, a high-performance computer at the Pittsburgh Supercomputer Center. It could achieve, at maximum, 1.35 PFLOPS – or more than a quadrillion floating-point math calculations per second. Libratus burned through approximately 19 million core hours of computing throughout the tournament.
'The techniques that we developed are largely domain independent and can thus be applied to other strategic imperfect-information interactions, including non-recreational applications,' the paper concluded.
This is a high-level overview of the system, of course, and the paper goes into some more detail. The code, however, will not be released publicly as the technology behind Libratus has been exclusively licensed to Strategic Machine, a startup founded by Sandholm in March this year.
At the Neural Processing Information Systems conference (NIPS) this year, during a demonstration of Libratus, Sandholm told The Register that the AI could be used for calculating strategic decisions in the real world, such as in finance and information security.
Sandholm said it could be deployed to help organizations thwart hackers exploiting zero-day vulnerabilities, where bugs in software are unknown to the folks trying to defend against such attacks. Meanwhile, Noam and Sandholm's research on nested subgame solving [PDF] won best paper at NIPS 2017. ®