Skip to Content
Artificial intelligence

Tencent’s AI programs defeat Starcraft’s own AI

September 24, 2018

AI researchers at the Chinese tech giant Tencent have posted details of two programs capable of beating the “cheating” AI found in the popular video game Starcraft.

The AI programs, called TStarBot1 and TStarBot2, were able to defeat the AI built into Starcraft, which has a superhuman view of the entire game. The programs use quite different approaches to achieve the same ends. The first employs advanced machine learning, while the second follows carefully crafted rules. Neither is sophisticated enough to defeat an expert human player, however.

Ready player none: Starcraft is an important new challenge for AI researchers, for two reasons. First, it’s a complex and sprawling game. Second, it involves a deferred reward—it’s difficult for a program to know if it’s doing well until relatively late in the game, so simple trial-and-error learning doesn’t work well.

London v. Shenzhen: The Alphabet subsidiary DeepMind, famous for developing AlphaGo, a program that mastered Go using reinforcement learning, is working on its own Starcraft AI programs. But it has yet to announce something quite as capable as Tencent’s programs.

Copycat no more: Rumor has it that Tencent has a lab dedicated to replicating DeepMind’s achievements. Yet Tencent, which operates China’s dominant mobile social app, WeChat, has been investing heavily in AI research. And it would seem that the company’s researchers are now making strides of their own.

Deep Dive

Artificial intelligence

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

What’s next for generative video

OpenAI's Sora has raised the bar for AI moviemaking. Here are four things to bear in mind as we wrap our heads around what's coming.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.