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Seis pessoas foram encontradas mortas na terça-feira ivan zufic poker um quarto de hotel no Grand Hyatt, coração do centro da cidade 🍌 Bangkok (Bangcoc), segundo policiais que disseram ter sido envenenados.

Dois dos mortos eram americanos de ascendência vietnamita e quatro cidadãos do 🍌 Vietnã, segundo o primeiro-ministro Srettha Thavisin. O major da polícia Theeradej Thumsuthee investigador chefe no Departamento Metropolitano que estava 🍌 sendo entrevistado na Nation TV - um canal tailandês disse três deles são homens; outros 3 mulheres

"A partir do exame 🍌 preliminar da cena, presumiu-se que eles tinham sido envenenados", disse o general Theeradej. Ele acrescentou haver vestígios de todos os 🍌 seis beberam café ou chá? uma autópsia prévia não encontrou nenhum ferimento - ele diz:"

Um guia estava sendo questionado, disse 🍌 ele.

O tenente-general da polícia Thiti Saengsawang, comissário de Polícia Metropolitana disse aos repórteres que não havia sinais do conflito. Os 🍌 corpos foram encontrados na mesma sala e suítes; todos os seis deveriam fazer check out nesta terça feira para arrumar 🍌 as malas deles!

A violência ivan zufic poker massa é incomum na cidade, mas a capital foi abalada por um tiroteio ocorrido no 🍌 mês de outubro passado quando o atirador abriu fogo num shopping center e acabou matando três pessoas.

O Grand Hyatt Erawan 🍌 Hotel está ivan zufic poker um cruzamento movimentado no centro da cidade de Bangkok. Ele fica do lado oposto ao Santuário erawano, 🍌 local onde ocorreu o atentado mortal que matou 20 pessoas na noite deste ano (2024).


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About the Algorithm

The first computer program to outplay human professionals at

heads-up no-limit Hold'em poker

In a study completed December 2024 🧬 and involving 44,000

hands of poker, DeepStack defeated 11 professional poker players with only one outside

the margin of statistical 🧬 significance. Over all games played, DeepStack won 49 big

blinds/100 (always folding would only lose 75 bb/100), over four standard 🧬 deviations

from zero, making it the first computer program to beat professional poker players in

heads-up no-limit Texas hold'em poker.

Games 🧬 are serious business

Don’t let the name

fool you, “games” of imperfect information provide a general mathematical model that

describes how 🧬 decision-makers interact. AI research has a long history of using parlour

games to study these models, but attention has been 🧬 focused primarily on perfect

information games, like checkers, chess or go. Poker is the quintessential game of

imperfect information, where 🧬 you and your opponent hold information that each other

doesn't have (your cards).

Until now, competitive AI approaches in imperfect

information 🧬 games have typically reasoned about the entire game, producing a complete

strategy prior to play. However, to make this approach 🧬 feasible in heads-up no-limit

Texas hold’em—a game with vastly more unique situations than there are atoms in the

universe—a simplified 🧬 abstraction of the game is often needed.

A fundamentally

different approach

DeepStack is the first theoretically sound application of heuristic

search methods—which 🧬 have been famously successful in games like checkers, chess, and

Go—to imperfect information games.

At the heart of DeepStack is continual 🧬 re-solving, a

sound local strategy computation that only considers situations as they arise during

play. This lets DeepStack avoid computing 🧬 a complete strategy in advance, skirting the

need for explicit abstraction.

During re-solving, DeepStack doesn’t need to reason

about the entire 🧬 remainder of the game because it substitutes computation beyond a

certain depth with a fast approximate estimate, DeepStack’s "intuition" – 🧬 a gut feeling

of the value of holding any possible private cards in any possible poker

situation.

Finally, DeepStack’s intuition, much 🧬 like human intuition, needs to be

trained. We train it with deep learning using examples generated from random poker

situations.

DeepStack 🧬 is theoretically sound, produces strategies substantially more

difficult to exploit than abstraction-based techniques and defeats professional poker

players at heads-up 🧬 no-limit poker with statistical significance.


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