A Dataset for StarCraft AI \& an Example of Armies Clustering

Understand

This paper advocates the exploration of the full state of recorded real-time strategy (RTS) games, by human or robotic players, to discover how to reason about tactics and strategy.

• We present a dataset of StarCraft games encompassing the most of the games' state (not only player's orders).
• We explain one of the possible usages of this dataset by clustering armies on their compositions.
• This reduction of armies compositions to mixtures of Gaussian allow for strategic reasoning at the level of the components.