Ever since computers cracked Go, chess and poker, StarCraft has emerged by consensus as the next grand challenge,” said David Silver, a DeepMind principle research scientist on the AlphaStar team, in a statement. “The history of progress in artificial intelligence has been marked by milestone achievements in games. DeepMind sees the advancement as more proof that general-purpose reinforcement learning, which is the machine learning technique underpinning the training of AlphaStar, may one day be used to train self-learning robots, self-driving cars, and create more advanced image and object recognition systems. Still, the AI was capable of achieving grandmaster level, the highest possible online competitive ranking, and marks the first ever system to do so in StarCraft II. It also limited AlphaStar to only viewing the portion of the map a human would see and restricted the number of mouse clicks it could register to 22 non-duplicated actions every five seconds of play, to align it with standard human movement.ĪlphaStar is the first ever AI grandmaster in Starcraft II
For one, it trained AlphaStar to use all three of the game’s playable races, adding to the complexity of the game at the upper echelons of pro play. Not only that, but DeepMind says it also evened the playing field when testing the new and improved AlphaStar against human opponents who opted into online competitions this past summer. The findings are to be published in a research paper in the scientific journal Nature.
The Google-owned AI lab’s more sophisticated software, still called AlphaStar, is now grandmaster level in the real-time strategy game, capable of besting 99.8 percent of all human players in competition. DeepMind today announced a new milestone for its artificial intelligence agents trained to play the Blizzard Entertainment game StarCraft II.
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