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code.talks 2019 - The Building Blocks of Superhuman Poker AI 

code.talks (ehem. Developer Conference)
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21 авг 2024

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Комментарии : 7   
@acdemiralp2998
@acdemiralp2998 3 года назад
Starts at 13:20
@dmitry6609
@dmitry6609 4 года назад
how come it costed only 150$? You told it took 8 days with 64 cores and 512 GB of memory. I thought on AWS it would cost around 800$. How is it possible to spend only 150$ for this?
@dmitriys4279
@dmitriys4279 4 года назад
so deep learning (actor-critic) doesnt work for texas holdem poker , does it ?
@is0morph
@is0morph 4 года назад
systems like deep stack use deep learning and there's certainly potential to it. also note that the same authors have a deep learning variant for the abstraction part of the algorithm. so it's just that nobody managed to build a deep learning version that beats top pros, but that might just be a matter of time. still, it's impressive that pluribus doesn't use any DL at all in the first place
@dmitriys4279
@dmitriys4279 4 года назад
@@is0morph ohh now I understand, thanks for reply. It's a great achievement. Let me clarify, all players have fixed stack size at the start of every hand?
@is0morph
@is0morph 4 года назад
@@dmitriys4279 yeah, that seems to stabilize training. the authors note this in a half-sentence in the addendum of the paper. in fact, there are a lot of these little details that are hard to decrypt. it's not clear to me why this doesn't tamper with the ability to learn to deal with all-in situations etc., but it seems to work for them.
@pokeraibot328
@pokeraibot328 3 года назад
Hello)
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