Emergent tool use from multi-agent interaction

OpenAI Blog · 6 years ago

Agents trained in a simulated hide-and-seek environment discovered six distinct strategies and counterstrategies through multi-agent interaction without explicit instruction. The agents progressed from simple behavior to increasingly complex tool use within a single environment. This demonstrates that competitive multi-agent training can generate emergent complexity without direct supervision or predetermined task design.