EvoMan: Game-playing Competition
This addresses the problem of developing robust game-playing AI for a specific domain, but it is incremental as it builds on existing frameworks and focuses on a competition setup.
The paper introduces EvoMan, a competition for evolving intelligent agents to defeat all eight bosses in Mega Man II using a generalist strategy, and provides baseline results for comparison.
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.