Advancements in artificial intelligence have made it possible to create poker bots that can easily outsmart humans. These bots have been developed to play various forms of poker, and with enough effort, it's possible to develop an AI that can beat humans at every variant of the game.
Monte Carlo tree search is a vital component for AI systems like AlphaGo to make better decisions and beat top humans at games like Go.
In perfect information board games like chess, AI search algorithms can be successful, but in games like poker, intuition and human decision-making are crucial factors. AI can use Monte Carlo rollouts to simulate game outcomes, but it cannot replace human intuition.