Noam Brown
speaker
1,199 appearances
1 recordings
1 series
first heard Dec 2022
last heard Dec 2022
Noam Brown’s voice in public audio — every appearance, attributed to the second.
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where we played our bot against four top heads up no limit hold'em poker players and the bot wasn't trying to adapt to them it wasn't trying to exploit them it wasn't trying to do these mind games it was just trying to approximate the nash equilibrium and it crushed them i think you know
We were playing for $50, $100 blinds, and over the course of about 120,000 hands, it made close to $2 million.
120,000 hands.
Yeah, and this was fake money, to be clear.
So there was real money at stake.
There was $200,000.
Yeah, okay.
So when I was in grad school, there was this thing called the annual computer poker competition, where every year, all the different research labs that were working on AI for poker would get together, they would make a bot, they would play them against each other.
And we made a bot that actually won the 2014 competition, the 2016 competition.
And so we decided we're going to take this bot, build on it and play against real top professional heads up, no limit Texas Hold'em poker players.
So we invited four of the world's best players in this specialty and we challenged them to 120,000 hands of poker over the course of 20 days.
And we had $200,000 in prize money at stake where it would basically be divided among them depending on how well they did relative to each other.
So we wanted to have some incentive for them to play their best.
So we did a competition actually in 2015 where we also played against professional poker players and the bot lost by a pretty sizable margin actually.
Now, there were some big improvements from 2015 to 2017.
It was really an algorithmic approach.
That was the difference.
So 2015, it was much more focused on trying to come up with a strategy upfront, like trying to solve the entire game of poker, and then just have a lookup table where you're saying like, oh, I'm in this situation.
What's the strategy?
Mm-hmm.
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