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Enforcing contractive dynamical structures onto learned latent disturbance representations delivers predictive disturbance accommodation without sacrificing the exponential stability guarantees essential for real-world adaptive control.
Achieving a 21.2% improvement in hypervolume, the CIMORL framework redefines how multi-robot systems can optimize competing objectives without sacrificing coordination.
