OpenAI Blog · Sep 17, 2019
Emergent tool use from multi-agent interaction
Reviewed by Errol Vogt, Site support technician & online learning analyst · original summary · editorial policy
Emergent tool use from multi-agent interaction. We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our 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. This update is relevant for small-office operators tracking changes in their tools.
Operator takeaway: For operators: review whether 'Emergent tool use from multi-agent interaction' affects your current setup before relying on it in production.
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