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Formal verification of robot safety can now be achieved without compromising the expressive power of foundation models, thanks to a novel modular architecture.
EMAgnet reduces exploitability in self-play scenarios by dynamically adapting regularization to the agent's evolving strategy, outperforming traditional methods.