Unverified50% confidenceFactExact time
Through discrete-time sensitivity analysis, the paper proves that parameters learned offline may be locally optimal near the training data, but when deployed in a closed-loop system, these parameters will precisely guarantee trajectory divergence.
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10/16/2026
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