How to Use AI & ML for Dynamic Difficulty Adjustment in Poker Games
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Dynamic difficulty adjustment is nothing new in the gaming industry. It's been used in video games for years to make players feel consistently challenged but not overwhelmed. In poker, though, the application is more nuanced and far more powerful when powered by AI and ML. For poker game developers looking to modernize gameplay and improve user retention, this is an area that deserves serious attention. What is Dynamic Difficulty Adjustment (DDA)? Dynamic difficulty adjustment is exactly what it sounds like: a system that adjusts the difficulty of a game in real-time based on the player's skill level or performance. In action games, this might mean enemies become faster or stronger. In poker, it could involve adjusting how aggressive AI bots play, how often certain strategies are used, or even how rewards are structured. But poker isn’t like other games. You can’t just make AI “play better” without making it obvious or unfair. That’s where AI and ML come in. They allow develop...