The article explores how players in repeated games can make decisions based on imperfect information. By analyzing a type of equilibrium called PTXE, the researchers found that patient players can learn the unknown state through a series of linear programming problems. They also identified conditions for players to act as if they have learned the state, and provided insights on achieving optimal payoffs in games with a known monitoring structure.