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	Podcast:		Thinking Poker
	Episode:		Episode 208: Michael Bowling of CPRG
	Category:		Games & Hobbies
	Duration:		01:34:39
	Publish Date:		2017-03-28 13:37:48
	Description:		Michael Bowling of the University of Alberta Computer Poker Research Group, who has previously appeared on Episode 79 and on Episode 110 after “essentially” solving Heads Up Limit Hold ‘Em, returns to discuss the group’s latest work creating an AI that it claims can beat top human players at the far more complex game of No Limit Hold ‘Em. Can it? Join us Wednesday at 5PM Eastern on Twitch to find out as Nate and Andrew battle in real time against DeepStack. Links Tournament Poker Edge DeepStackAI Article in Science Timestamps 0:30 hello & welcome 4:20 strategy 36:30 michael bowling Strategy From a €500 deep stack tournament in Dublin. Blinds are 150/300/25 and effective stacks are 100-110k. UTG limps, folds to MP who makes it 700, folds to Hero on the button who 3-bets to 2100 with AQo. UTG 4-bets to 7000. MP folds, Hero calls. Pot: 15,450 Flop: 9c 7s 2h UTG bets 6500. Hero calls. Pot: 28,450 Turn: Qd UTG bets 11,200. Hero calls. Pot: 50,850 River: 5s UTG bets 35,000. Hero?
	Total Play:		0

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