  This paper describes a competition proposal for evolving Intelligent Agents
for the game-playing framework called EvoMan. The framework is based on the
boss fights of the game called Mega Man II developed by Capcom. For this
particular competition, the main goal is to beat all of the eight bosses using
a generalist strategy. In other words, the competitors should train the agent
to beat a set of the bosses and then the agent will be evaluated by its
performance against all eight bosses. At the end of this paper, the competitors
are provided with baseline results so that they can have an intuition on how
good their results are.
