The article explores how players in games can learn to make better decisions over time without knowing all the rules from the start. By using a type of learning called fictitious play, where players adjust their strategies based on past experiences, the study shows that players can reach a good balance point in the game. This balance point is called a Nash equilibrium. The researchers found that even when players use a type of learning called reinforcement learning to make their decisions, they can still reach this balance point. This is important because it shows that players can learn to play well in complex games without needing to know everything about the game at the beginning.