Poker Ai Libratus

• Poker Ai Libratus Bot
• Libratus Poker Ai
• Poker Ai Program

Sending Humans Down the Drain was Libratus, AI Poker Bot Champ

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 rst and so far only AI to defeat top hu-man professionals in that game. Libratus's archi-tecture features three main modules, each of which has new algorithms: pre-computing a solution to an. Libratus is an artificial intelligence computer program designed to play poker, specifically heads up no-limit Texas hold 'em. Libratus' creators intend for it to be generalisable to other, non-Poker-specific applications. It was developed at Carnegie Mellon University, Pittsburgh. Innovate Why It Matters That Artificial Intelligence Is About to Beat the World's Best Poker Players Libratus, a smart new computing system, is pushing into new territory for artificial intelligence. (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.

Find out all the reasons your not winning more in online poker further below in this article.

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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?

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?

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

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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.

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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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Libratus is an artificial intelligence computer program designed to play poker, specifically heads up no-limitTexas hold 'em. Libratus' creators intend for it to be generalisable to other, non-Poker-specific applications. It was developed at Carnegie Mellon University, Pittsburgh.

Background[edit]

While Libratus was written from scratch, it is the nominal successor of Claudico. Like its predecessor, its name is a Latin expression and means 'balanced'.

Libratus was built with more than 15 million core hours of computation as compared to 2-3 million for Claudico. The computations were carried out on the new 'Bridges' supercomputer at the Pittsburgh Supercomputing Center. According to one of Libratus' creators, Professor Tuomas Sandholm, Libratus does not have a fixed built-in strategy, but an algorithm that computes the strategy. The technique involved is a new variant of counterfactual regret minimization,^[1] namely the CFR+ method introduced in 2014 by Oskari Tammelin.^[2] On top of CFR+, Libratus used a new technique that Sandholm and his PhD student, Noam Brown, developed for the problem of endgame solving. Their new method gets rid of the prior de facto standard in Poker programming, called 'action mapping'.

As Libratus plays only against one other human or computer player, the special 'heads up' rules for two-player Texas hold 'em are enforced.

2017 humans versus AI match[edit]

From January 11 to 31, 2017, Libratus was pitted in a tournament against four top-class human poker players,^[3] namely Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou. In order to gain results of more statistical significance, 120,000 hands were to be played, a 50% increase compared to the previous tournament that Claudico played in 2015. To manage the extra volume, the duration of the tournament was increased from 13 to 20 days.

The four players were grouped into two subteams of two players each. One of the subteams was playing in the open, while the other subteam was located in a separate room nicknamed 'The Dungeon' where no mobile phones or other external communications were allowed. The Dungeon subteam got the same sequence of cards as was being dealt in the open, except that the sides were switched: The Dungeon humans got the cards that the AI got in the open and vice versa. This setup was intended to nullify the effect of card luck.

The prize money of $200,000 was shared exclusively between the human players. Each player received a minimum of $20,000, with the rest distributed in relation to their success playing against the AI. As written in the tournament rules in advance, the AI itself did not receive prize money even though it won the tournament against the human team.

During the tournament, Libratus was competing against the players during the days. Overnight it was perfecting its strategy on its own by analysing the prior gameplay and results of the day, particularly its losses. Therefore, it was able to continuously straighten out the imperfections that the human team had discovered in their extensive analysis, resulting in a permanent arms race between the humans and Libratus. It used another 4 million core hours on the Bridges supercomputer for the competition's purposes.

Strength of the AI[edit]

Libratus had been leading against the human players from day one of the tournament. The player Dong Kim was quoted on the AI's strength as follows: 'I didn't realize how good it was until today. I felt like I was playing against someone who was cheating, like it could see my cards. I'm not accusing it of cheating. It was just that good.'^[4]

At the 16th day of the competition, Libratus broke through the $1,000,000 barrier for the first time. At the end of that day, it was ahead $1,194,402 in chips against the human team. At the end of the competition, Libratus was ahead $1,766,250 in chips and thus won resoundingly. As the big blind in the matches was set to $100, Libratus winrate is equivalent to 14.7 big blinds per 100 hands. This is considered an exceptionally high winrate in poker and is highly statistically significant.^[5]

Of the human players, Dong Kim came first, MacAulay second, Jimmy Chou third, and Jason Les fourth.

Other possible applications[edit]

While Libratus' first application was to play poker, its designers have a much broader mission in mind for the AI.^[6] The investigators designed the AI to be able to learn any game or situation in which incomplete information is available and 'opponents' may be hiding information or even engaging in deception. Because of this Sandholm and his colleagues are proposing to apply the system to other, real-world problems as well, including cybersecurity, business negotiations, or medical planning.^[7]

See also[edit]

References[edit]

1. ^Hsu, Jeremy (10 January 2017). 'Meet the New AI Challenging Human Poker Pros'. IEEE Spectrum. Retrieved 2017-01-15.
2. ^Brown, Noam; Sandholm, Tuomas (2017). 'Safe and Nested Endgame Solving for Imperfect-Information Games'(PDF). Proceedings of the AAAI workshop on Computer Poker and Imperfect Information Games.
3. ^Spice, Byron; Allen, Garrett (January 4, 2017). 'Upping the Ante: Top Poker Pros Face Off vs. Artificial Intelligence'. Carnegie Mellon University. Retrieved 2017-01-12.
4. ^Metz, Cade (24 January 2017). 'Artificial Intelligence Is About to Conquer Poker—But Not Without Human Help'. Wired. Retrieved 2017-01-24.
5. ^'Libratus Poker AI Beats Humans for $1.76m; Is End Near?'. PokerListings. 30 January 2017. Retrieved 2018-03-16.
6. ^Knight, Will (January 23, 2017). 'Why it's a big deal that AI knows how to bluff in poker'. MIT Technology Review.
7. ^'Artificial Intelligence Wins $800,000 Against 4 Poker Masters'. Interesting Engineering. 27 January 2017.

External links[edit]

Poker Ai Libratus Bot

• Brains versus Artificial Intelligence official website at the Rivers Casino

Libratus Poker Ai

2017 humans versus AI match[edit]

From January 11 to 31, 2017, Libratus was pitted in a tournament against four top-class human poker players,^[3] namely Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou. In order to gain results of more statistical significance, 120,000 hands were to be played, a 50% increase compared to the previous tournament that Claudico played in 2015. To manage the extra volume, the duration of the tournament was increased from 13 to 20 days.

The four players were grouped into two subteams of two players each. One of the subteams was playing in the open, while the other subteam was located in a separate room nicknamed 'The Dungeon' where no mobile phones or other external communications were allowed. The Dungeon subteam got the same sequence of cards as was being dealt in the open, except that the sides were switched: The Dungeon humans got the cards that the AI got in the open and vice versa. This setup was intended to nullify the effect of card luck.

The prize money of $200,000 was shared exclusively between the human players. Each player received a minimum of $20,000, with the rest distributed in relation to their success playing against the AI. As written in the tournament rules in advance, the AI itself did not receive prize money even though it won the tournament against the human team.

During the tournament, Libratus was competing against the players during the days. Overnight it was perfecting its strategy on its own by analysing the prior gameplay and results of the day, particularly its losses. Therefore, it was able to continuously straighten out the imperfections that the human team had discovered in their extensive analysis, resulting in a permanent arms race between the humans and Libratus. It used another 4 million core hours on the Bridges supercomputer for the competition's purposes.

Strength of the AI[edit]

Libratus had been leading against the human players from day one of the tournament. The player Dong Kim was quoted on the AI's strength as follows: 'I didn't realize how good it was until today. I felt like I was playing against someone who was cheating, like it could see my cards. I'm not accusing it of cheating. It was just that good.'^[4]

At the 16th day of the competition, Libratus broke through the $1,000,000 barrier for the first time. At the end of that day, it was ahead $1,194,402 in chips against the human team. At the end of the competition, Libratus was ahead $1,766,250 in chips and thus won resoundingly. As the big blind in the matches was set to $100, Libratus winrate is equivalent to 14.7 big blinds per 100 hands. This is considered an exceptionally high winrate in poker and is highly statistically significant.^[5]

Of the human players, Dong Kim came first, MacAulay second, Jimmy Chou third, and Jason Les fourth.

Other possible applications[edit]

While Libratus' first application was to play poker, its designers have a much broader mission in mind for the AI.^[6] The investigators designed the AI to be able to learn any game or situation in which incomplete information is available and 'opponents' may be hiding information or even engaging in deception. Because of this Sandholm and his colleagues are proposing to apply the system to other, real-world problems as well, including cybersecurity, business negotiations, or medical planning.^[7]

See also[edit]

References[edit]

1. ^Hsu, Jeremy (10 January 2017). 'Meet the New AI Challenging Human Poker Pros'. IEEE Spectrum. Retrieved 2017-01-15.
2. ^Brown, Noam; Sandholm, Tuomas (2017). 'Safe and Nested Endgame Solving for Imperfect-Information Games'(PDF). Proceedings of the AAAI workshop on Computer Poker and Imperfect Information Games.
3. ^Spice, Byron; Allen, Garrett (January 4, 2017). 'Upping the Ante: Top Poker Pros Face Off vs. Artificial Intelligence'. Carnegie Mellon University. Retrieved 2017-01-12.
4. ^Metz, Cade (24 January 2017). 'Artificial Intelligence Is About to Conquer Poker—But Not Without Human Help'. Wired. Retrieved 2017-01-24.
5. ^'Libratus Poker AI Beats Humans for $1.76m; Is End Near?'. PokerListings. 30 January 2017. Retrieved 2018-03-16.
6. ^Knight, Will (January 23, 2017). 'Why it's a big deal that AI knows how to bluff in poker'. MIT Technology Review.
7. ^'Artificial Intelligence Wins $800,000 Against 4 Poker Masters'. Interesting Engineering. 27 January 2017.

External links[edit]

Poker Ai Libratus Bot

• Brains versus Artificial Intelligence official website at the Rivers Casino

Libratus Poker Ai

Poker Ai Program