GIST Researchers Develop Terrain-Aware AI for Predicting Battle Outcomes in StarCraft 2

As the need for more sophisticated artificial intelligences (AIs) grows, the challenges that they must face along the way have to evolve accordingly. Real-time strategy (RTS) video games, unlike turn-based board games such as chess, can serve as a vast playground for pushing the limits of AI. In particular, StarCraft II (SC2), one of the world's most popular and skill-demanding RTS games, has already been the object of a few groundbreaking AI-related studies. In SC2 matches, each player has to build up and command an army of varied units to defeat their opponent using wit and grit. While AI-based systems can excel at many aspects of the game, improving their decision-making regarding when their units should be sent to or relocated during a battle is remarkably difficult.