One player noted that Pluribus was exceptional at making itself unpredictable, changing strategy even when playing identical hands. The bot also bet — and bluffed — big.
The AI played so well that it won about $1,000 (in chips) an hour against its opponents.
Simply put, Pluribus plays very differently from how humans play the game. The bot learned the timing of huge bets and bluffs and produced a combination of unpredictability and bold moves that humans would struggle to match.
This is obviously a big advancement in AI, and there’s an inevitability about it getting even better in the years to come. So, what does this mean for online poker?
AI milestone, or poker tombstone?
The code for this AI is being kept secret and not being released, which is good news for online poker.
Although poker was the chosen experiment, this is much more about advancing AI in general. The scientists behind Pluribus say the victory is a significant milestone in AI research.
Machine learning has already reached superhuman levels in board games like chess and Go. However, computer games like Starcraft II and six-person no-limit Texas Hold ‘em represents, by some measures, a much higher benchmark of difficulty.
For these games, the information needed to win is hidden from players (making it what’s known as an “imperfect-information game”). They also involve multiple players and complex victory outcomes.