TAG: Pandemic Competition

Cooperation between humans and AI is an area of research explored more frequently in recent literature. Yet, environments used for this purpose are generally lacking in complexity. In this paper, we describe the first Tabletop Games Framework (TAG) competition designed around the Pandemic: a cooperative board game where players aim to cure the world of disease. We discuss the many AI challenges introduced through this environment, detail the competition setup, present baseline results for sample AI players and explore the game parameter space for interesting insights, such as the most dominant player roles: the Scientist and the Medic.