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Computers are getting more sophisticated than ever at understanding and playing complicated games. DeepMind, one of the leaders in artificial intelligence, proved that once again today with its latest A.I. agent called AlphaStar. During a livestream, this program took on two StarCraft II pros in a series of five matches for each, and AlphaStar swept all 10 matches.

StarCraft II pros Dario “TLO” Wünsch and Greegorz “MaNa” Komincz are two of the top players in the world. But neither could handle neural-network-powered AlphaStar. Blizzard opened up StarCraft II to A.I. researchers last year, and that has resulted in huge leaps in computer performance.

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DeepMind has already mastered chess and go with AlphaZero and AlphaGo, respectively. And those games are so complicated that no computer on Earth could brute-force calculate every possible match in those games. But a real-time strategy video game like StarCraft II is exponentially more complicated in terms of what is possible in every moment. And this reveals the power the deep learning. Something like AlphaStar doesn’t have to learn every possible match in StarCraft to understand it. Instead, it focuses on winning strategies.

How AlphaStar learns

The reason that AlphaStar is such a big deal is because of the way it learns. It uses multiple techniques, and DeepMind ran through how it works.