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(DeepMind did let a more general-purpose version of its Go-playing agent try its hand in chess, which it.) That’s because the software isn’t programmed with easy-to-replace rule sets or directions. The most likely real-world application for such software is robotics, where the same techniques can properly train AI agents how to perform real-world tasks, like the operation of robotic hands, in virtual simulation. “Though some of AlphaStar’s strategies may at first seem strange, I can’t help but wonder if combining all the different play styles it demonstrated could actually be the best way to play the game.”DeepMind hopes advances in reinforcement learning achieved by its lab and fellow AI researchers may be more widely applicable at some point in the future.
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