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Reinforcement learning with a dynamic world model. It's a pretty standard approach to training agents, although there are a lot of problems with this technique as well. People have used it to create agents for Minecraft, racing games, Nethack, lots of old arcade games and so forth.

Turns out it's literally exactly what I said. A human came up with the idea. No AI involved: https://www.usatoday.com/story/news/politics/2023/06/02/us-a...

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