StarCraft Will Become the Next Big Playground for AI

The new version of StarCraft II includes a range of simplified outputs (shown on the left) to aid machine learning.

Teaching computers to play the board game Go is impressive, but if we really want to push the limits of machine intelligence, perhaps they’ll need to learn to rush a Zerg or set a trap for a hoard of invading Protoss ships.

StarCraft, a hugely popular space-fiction-themed strategy computer game will soon be accessible to advanced AI players. Blizzard Entertainment, the company behind the game, together with Google DeepMind, a subsidiary of Alphabet focused on developing general-purpose artificial intelligence, announced the move at a games conference today.

Teaching computers to play StarCraft II expertly would be a significant milestone in artificial intelligence research. Within the game, players must build bases, mine resources, and attack their opponents’ outposts. Mastering such a complex and sprawling game takes finely-honed skills, strategic acumen, and a good dose of cunning. It is visually relatively complex, and players often cannot see what their opponent is up to. It should therefore be an ideal place for computers to make the next big leap in mimicking human intelligence.

Modifications to StarCraft II, the latest version of the game, will be released in the first quarter of next year, making it possible for AI researchers to build systems that can learn how to play the game through experimentation, observation, and other cutting-edge learning techniques. For example, it might be necessary to using machine learning systems that rely on delayed rewards and that are capable of observing and mimicking human players.

The new interface for StarCraft II will limit the capabilities of machine learning systems, like the number of commands they can execute per minute, so that they match those of human players. The interface will also present visually simplified versions of the game to aid with machine learning. Blizzard and DeepMind will release tools to get researchers up and running.

StarCraft will be an exciting new challenge, says Oriol Vinyals, a research scientist at Google DeepMind who is leading the effort to make StarCraft II a playground for new AI algorithms. “It’s a game I played a long time ago in quite a serious way,” Vinyals says. “And, as a player, I can attest that there are many interesting things about StarCraft. For instance, an agent will need to learn planning and utilize memory, which is a hot topic in machine learning.”

StarCraft is not only a hugely popular computer game, it is the most successful e-sport of all time, with players competing live, often in front of large live and televised audiences for significant prizes. The game already features primitive AI’s, which lag far behind the skills of human players. Chris Sigaty, a production director at Blizzard responsible for StarCraft II says he hopes the new venture will feed back into the game. “AI’s could perhaps become coaches or teachers,” he says.

DeepMind gained attention several years ago for developing AI’s capable of playing simple Atari computer games, and last year the company developed a program, called AlphaGo, capable of playing the ancient board game Go, to an expert level. AlphaGo defeated one of the strongest human players of all time, which was considered a big milestone because it has proven impossible to program to play Go expertly with explicit rules (see “Google’s AI Masters Go a Decade Earlier Than Expected“).

There is growing interest in using computer games to develop and test AI programs. Researchers at Microsoft have created a research version the simple, open-world game Minecraft into an experimental environment for AI development (“Minecraft is a Testing Ground for Human-AI Collaboration“). Separately, Facebook researchers published a paper that allows StarCraft to be used for machine learning experimentation without the modifications announced today.