Poker


To drive AI forward, teach computers to play old-school text adventure games

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Games have long been used as test beds and benchmarks for artificial intelligence, and there has been no shortage of achievements in recent months. Google DeepMind's AlphaGo and poker bot Libratus from Carnegie Mellon University have both beaten human experts at games that have traditionally been hard for AI – some 20 years after IBM's DeepBlue achieved the same feat in chess. Games like these have the attraction of clearly defined rules; they are relatively simple and cheap for AI researchers to work with, and they provide a variety of cognitive challenges at any desired level of difficulty. By inventing algorithms that play them well, researchers hope to gain insights into the mechanisms needed to function autonomously. With the arrival of the latest techniques in AI and machine learning, attention is now shifting to visually detailed computer games – including the 3D shooter Doom, various 2D Atari games such as Pong and Space Invaders, and the real-time strategy game StarCraft.


Teaching computers to play Doom is a blind alley for AI – here's an alternative

The Independent

Games have long been used as testbeds and benchmarks for artificial intelligence, and there has been no shortage of achievements in recent months. Google DeepMind's AlphaGo and poker bot Libratus from Carnegie Mellon University have both beaten human experts at games that have traditionally been hard for AI – some 20 years after IBM's DeepBlue achieved the same feat in chess. Games like these have the attraction of clearly defined rules; they are relatively simple and cheap for AI researchers to work with, and they provide a variety of cognitive challenges at any desired level of difficulty. By inventing algorithms that play them well, researchers hope to gain insights into the mechanisms needed to function autonomously. With the arrival of the latest techniques in AI and machine learning, attention is now shifting to visually detailed computer games – including the 3D shooter Doom, various 2D Atari games such as Pong and Space Invaders, and the real-time strategy game StarCraft.


How poker and other games help artificial intelligence evolve

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Michael Bowling has always loved games. When he was growing up in Ohio, his parents were avid card players, dealing out hands of everything from euchre to gin rummy. Meanwhile, he and his friends would tear up board games lying around the family home and combine the pieces to make their own games, with new challenges and new markers for victory. Bowling has come far from his days of playing with colourful cards and plastic dice. He has three degrees in computing science and is now a professor at the University of Alberta.


APNewsBreak: 3-State Online Poker Pool to Debut May 1

U.S. News

"This has been a huge collaborative effort from all involved and it is important to thank the elected leadership and regulatory authorities in Delaware, Nevada and New Jersey for their dedication and diligence to help move online poker forward," said Bill Rini, WSOP.com's head of online poker. "Everyone has had the end user in mind throughout this process, and as a result, we believe the United States, for the first time in a regulated environment, will have a large-scale multi-state offering that will propel the industry forward as soon as next month."


Poker AI Revolution [Infographic] Techno FAQ

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AI has a long history of defeating human players in games. IBM's "Deep Blue" developed by Carnegie Mellon University beat chess world champion Garry Kasparov in their re-match in 1997. Google AlphaGo AI won the game "Go" by defeating leading Go player Lee Sedol. IBM supercomputer Watson beat two "Jeopardy" champions at their own game in 2011. But, did you know that AI recently conquered the very human game of Poker?


The Annual Computer Poker Competition

AI Magazine

Now entering its eighth year, the Annual Computer Poker Competition (ACPC) is the premier event within the field of computer poker. With both academic and nonacademic competitors from around the world, the competition provides an open and international venue for benchmarking computer poker agents. We describe the competition's origins and evolution, current events, and winning techniques The competition has been held annually since 2006, open to all competitors, in conjunction with top-tier artificial intelligence conferences (AAAI and IJCAI). In 2006 the competition began with only 5 competitors. Since then, the total number of competitors has increased.


Revealed: How Libratus bot felted poker pros – and now it has cyber-security in its sights

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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.




Was this the last human to beat an AI at Poker? Access AI

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Ever since the inception of Artificial Intelligence, humans have been in a constant battle with the modern thinking-machines. AI has touched many industries, by showing outstanding results and even outperforming humans. As statistics show, 62% of millennials aged 17-24 and 35% of people over 55 trust the super abilities and the future of AI. It is also interesting that 71% of people over 50 believe that intelligent virtual assistants will simplify their lives in the future. Meanwhile, the history of the Brains vs AI battle contains many examples of where one defeats the other.