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Optimal control for swarm steering can dynamically exploit or counteract interaction forces depending on whether they are favorable or adversarial to the steering task

Numerical examples show that the obtained optimal control (corrective drift) can dynamically exploit or counteract the interaction forces, depending on whether the latter are favorable or adversarial to the steering task.
Machine Learning (Statistics)29 Aug 2026

http://arxiv.org/abs/2608.25281v1