Dynamic matching with teams

This paper studies a dynamic matching model in which a matchmaker creates team based game sessions for sequentially arriving players and seeks a balance between fairness and waiting times. We derive a closed-form optimal matching policy and show that as the team size grows and the market becomes more balanced, greedy policies become less appealing.