Episode 207: Nikolai Yakovenko on AI and Poker

Nikolai Yakovenko, poker player and computer scientist, returns to the podcast (he first appeared on Episode 155) to talk about recent advances in Artificial Intelligence, particularly with regard to poker.

Links

Tournament Poker Edge

NYC Live Event with Just Hands Poker

DeepStackAI Article in Science

Timestamps

0:30 – hello
13:08 – strat
45:14 – nikolai

Strategy

Hand 1

60/120 Limit Hold ‘Em

Button raises, Hero 3-bets ATo in SB, BN 4-bets, Hero calls.

Flop (4.5 BBs) T42r. Check, bet, call.

Turn (5.5 BBs) A. Check, bet, raise, call.

River (7.5 BBs) T. Bet, fold.

Hand 2

$1/$3 NLHE, $390 effective stacks.

Utg+1 calls, MP raises to 13, Hero raise to 35 with QQ on btn, folds back to MP who calls. 

Flop ($77) Qh 9h 6c. Check, Hero bets $40, call.

Turn ($157) Jh. Check, Hero bets $80, Villain raises to $200, Hero calls

River ($557) Qh 9h 6c Jh 2h. Villain jams $150, Hero folds.

 

2 thoughts on “Episode 207: Nikolai Yakovenko on AI and Poker”

Comments are closed.