In hot spot scenarios, Wireless Local Area Networks (WLANs) often have to share a common radio channel. These WLANs are here modeled as competing players that support Quality of Service in the presence of other players. The competition is modeled with a stage-based game structure. In this paper, we model existing games by means of repeated stages. This is referred to as Multi Stage Game. During the course of a Multi Stage Game, players adapt behaviors, i.e. modify their protocol parameters, by taking into account the history of past achieved utilities (the payoffs per stage). We show that players attempting to maximize their payoff are able to improve their payoffs through dynamic strategies. Strategies define what behavior a player selects under consideration of a potential interaction. Further on, a discounting-based decision process for determining what behavior to select is introduced. Simulation results indicate that setting the player's discounting factors based on the quality of service requirements leads to predictable outcomes in many competition scenarios.