
The 1st #AI to beat pros at heads-up no-limit hold'em #poker - #DeepStackAI uses heuristic search techniques, #DeepLearning and regret minimization
Joined January 2017
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⚡️ “DeepStack: AI beats poker pros for 1st time”
nitter.gq/i/moments/837420916342…
Looking to go head-to-GPU and toe-to-transistor against #DeepStackAI, the 1st #AI to beat human pros at heads-up no limit #poker? Join us tomorrow at @TWoSEdm's Dark Matters: buff.ly/2n8GnaD #Yeg
DeepStack retweeted
Learn about ASTech Awards Finalist Michael Bowling's work with @DeepStackAI ow.ly/1CqV30gfPeO #UAlberta #AI nitter.gq/ASTechFDN/status/92394…
Using poker to build better #AI? #ASTechAwards Finalist, @MichaelHBowling @uAlberta @DeepMindAI says yes.Learn more: ow.ly/R6F330g3lIC
Replying to @DeepStackAI @thinkingpoker @tchanpoker @NateMeyvis @bparispoker @MikeMcDonald89 @DutchBoyd
12/ Here's a summary table. The (X +/- Y) columns show estimated win probabilities, and 95% confidence, based on the W/L predictions.
11/ #AIVAT on DeepStack vs @NateMeyvis @ThinkingPoker @bparispoker @tchanpoker @MikeMcDonald89 @TaylorvonK @DutchBoyd @PokercastAdam:
Replying to @DeepStackAI @thinkingpoker
10/ Watch for an upcoming interview with @PokercastAdam and @tchanpoker on #AIVAT and these results too!
9/ Last week, we were guests on @ThinkingPoker to describe #AIVAT and its analysis of our freezeouts: thinkingpoker.net/2017/08/ep…
8/ While each freezeout always ends in a win or a loss, #AIVAT gives us win probabilities for winning a freezeout.
7/ #AIVAT also works on freezeout tournaments, like the Twitch matches we played earlier this year: youtube.com/channel/UC4vSx3b…
6/ And described by @IFPMatchPoker using an example hand between Martin Sturc and DeepStack: matchpoker.net/deepstack-ai/
5/ #AIVAT is provably fair, described in mathematical detail in a research paper: arxiv.org/abs/1612.06915
4/ 3,000 hands evaluated with #AIVAT is statistically equivalent to almost 100,000 hands of poker!
3/ It can then subtract these terms from the outcome, producing a "luck-adjusted" estimate with much less variance than the actual outcome.
2/ #AIVAT analyzes hands in finished matches and estimates how much of a player's winnings came from lucky or unlucky cards/actions.
1/ #DeepStackAI uses a new evaluation technique called #AIVAT for separating luck from skill in games like #poker
DeepStack retweeted
Spent a really enjoyable day brainstorming AI ideas with Rich, Mike, and Patrick. So exciting to welcome them and their team to #DeepMind ! nitter.gq/DeepMindAI/status/8826…
We're opening a research office in #Edmonton, Canada, in collaboration with @UAlberta, led by RL pioneer Rich Sutton deepmind.com/blog/deepmind-o…
DeepStack retweeted
We're opening a research office in #Edmonton, Canada, in collaboration with @UAlberta, led by RL pioneer Rich Sutton deepmind.com/blog/deepmind-o…
DeepStack retweeted
I'm heads up vs a very nice Dutchman who does not seem to have much HU experience. I, on the other hand, have trained against @DeepStackAI.
Replying to @andyjeffries
3+ player games are a tough challenge both in theory and in practice, but after 2p that's the next challenge problem for the field, yep!
Replying to @andyjeffries
No. DeepStack only saw the showdown hands, while the humans saw both the showdown hands and DeepStack's folded hands.










