This Superhuman Poker AI Was Trained in 20 Hours

Added on Aug 12, 2019 From Two Minute Papers

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Weights & Biases blog post with the 1 line of code visualization: https://www.wandb.com/articles/visualize-keras-models-with-one-line-of-code

📝 The paper "Superhuman AI for multiplayer poker" is available here:
- https://ai.facebook.com/blog/pluribus-first-ai-to-beat-pros-in-6-player-poker/
- https://www.cs.cmu.edu/~noamb/papers/19-Science-Superhuman.pdf
- https://science.sciencemag.org/content/early/2019/07/10/science.aay2400

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313V, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Bruno Brito, Bryan Learn, Christian Ahlin, Christoph Jadanowski, Claudio Fernandes, Daniel Hasegan, Dennis Abts, Eric Haddad, Eric Martel, Evan Breznyik, Geronimo Moralez, James Watt, Javier Bustamante, John De Witt, Kaiesh Vohra, Kasia Hayden, Kjartan Olason, Levente Szabo, Lorin Atzberger, Lukas Biewald, Marcin Dukaczewski, Marten Rauschenberg, Maurits van Mastrigt, Michael Albrecht, Michael Jensen, Nader Shakerin, Owen Campbell-Moore, Owen Skarpness, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Zach Boldyga.
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#Poker #PokerAI


3638 Likes,     77 Dislikes,     91248 Views,     319 Comments

Malcolm Mutambanengwe Says:

Aug 23, 2019 - 5min paper, LoL :)

ShiestyShamus Says:

Aug 23, 2019 - Meh. I’d be curious to see what the sample size is. There have been tons of poker bots over the years. Some will inevitably run hot. Even a hundred thousand hands has a lot of variance in NLH. Especially with that aggro style. And the thousands of dollars is technically irrelevant. How many BB’s are they winning per hundred hands?

Also, all play styles are exploitable when you know what the opponent is going to do. If you knew in advance that the Bot will play QJ like this, simply tightening up your range will beat hyper aggression. The more money your opponent is willing to put in the pot post-flop, the more you can afford to lose pre-flop because you’ll make up for it with overall higher showdown value.

CRYPTO VIDEO Says:

Aug 22, 2019 - so many people commenting on how the QJ hand was played poorly, when it was played perfectly by the bot.
you have to understand that the bot his seen this exact spot essentially millions of times and gone through every possible outcome, so it knows.
It's not using exploitative, assumptive logic that the commenters use to exploit fish in their local home game.

CRYPTO VIDEO Says:

Aug 22, 2019 - everyone in the comment section is a dumbass

Alexandre Taquin Says:

Aug 22, 2019 - I thought the computer power needed for nlhe was way too strong
Limite hold’em has been mastered since way less variables are too count because bets are limited. If he is not lying on beating wsop winners and they played many hands that extremely impressive.

My True Love is My FR-S Says:

Aug 22, 2019 - Aaaaand how do I buy it

Gamblstation - Highlights Says:

Aug 22, 2019 - The AI doesnt show 'weakness' on the Q flop when he checks the flop to the preflop raiser. Imo thats pretty standard lol

FIGHT FOOTAGE Says:

Aug 22, 2019 - FYI in some of the examples shown both flop and river play by human were bets not raises. However I am sure the bot knows this after all only humans make mistakes

SkinnyBoy Says:

Aug 22, 2019 - Stop saying its a super "human"

Jon T Says:

Aug 22, 2019 - How does the bot know that it's qj is strong enough to reraise the opponent?did Qt raise preflop?

Hope this is not one of those holecard seeing bots.



https://poker.irish/ ❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers Weights & Biases blog post with the 1 line of code visualization: https://www.wandb.com/articles/visualize-keras-models-with-one-line-of-code 📝 The paper "Superhuman AI for multiplayer poker" is available here: - https://ai.facebook.com/blog/pluribus-first-ai-to-beat-pros-in-6-player-poker/ - https://www.cs.cmu.edu/~noamb/papers/19-Science-Superhuman.pdf - https://science.sciencemag.org/content/early/2019/07/10/science.aay2400 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Bruno Brito, Bryan Learn, Christian Ahlin, Christoph Jadanowski, Claudio Fernandes, Daniel Hasegan, Dennis Abts, Eric Haddad, Eric Martel, Evan Breznyik, Geronimo Moralez, James Watt, Javier Bustamante, John De Witt, Kaiesh Vohra, Kasia Hayden, Kjartan Olason, Levente Szabo, Lorin Atzberger, Lukas Biewald, Marcin Dukaczewski, Marten Rauschenberg, Maurits van Mastrigt, Michael Albrecht, Michael Jensen, Nader Shakerin, Owen Campbell-Moore, Owen Skarpness, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Zach Boldyga. https://www.patreon.com/TwoMinutePapers Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Instagram: https://www.instagram.com/twominutepapers/ Twitter: https://twitter.com/karoly_zsolnai Web: https://cg.tuwien.ac.at/~zsolnai/ #Poker #PokerAI