An artificial intelligence from Google DeepMind can play nine open-world video games like a human, by watching video from a screen and controlling a keyboard and mouse
, like a human just by watching video from a screen, which could be a step towards generally intelligent AIs that operate in the corporeal world., but these games have obvious ways to win or lose, making it relatively straightforward to train an AI to succeed at them., are harder for AI systems to crack.
Besse and his colleagues used pre-existing video and image recognition models to interpret game video data, then trained SIMA to map what happens in the video to certain tasks. To provide this information, the researchers got pairs of people to play video games together, with one person watching the screen and telling the other what moves to make, and also made people watch back their gameplay and describe the mouse and keyboard moves they performed for their game actions.
When SIMA was trained on eight games, the researchers found it could then play a ninth game that it hadn’t seen before. However, it fell short of human-level performance. The researchers used a training method in which they rotated which eight games they trained the AI on so using the ninth game was the test, to ensure it can play any of the games it hasn’t seen before.
“It’s worth remembering that for companies like DeepMind, this research isn’t really about games, it’s about robotics,” saysat King’s College London. “Navigating 3D environments is a means to an end, and these companies are keen to make AI systems that can perceive and act in the world. So I don’t see this having a large impact on video games, but it might have a lot of unknown impacts on our life outside in the real world.
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