Through training in a simulated hide-and-seek environment, AI agents build a series of six distinct strategies and counterstrategies, some of which we did not know the environment supported. The self-supervised emergent complexity in this simple environment further suggests that multi-agent co-adaptation may one day produce extremely complex and intelligent behavior.

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