The chapter discusses different types of games in wireless communications, moving from simple one-time decisions to more complex scenarios where players can learn from past moves. Dynamic games allow players to adjust their strategies based on previous actions, leading to more efficient outcomes compared to static games. Repeated games involve multiple interactions to optimize performance over time, while stochastic games introduce variability in each stage of the game. By considering these dynamic game types, players can make better decisions and achieve more favorable results in wireless communication scenarios.