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deployment-time-adaptation

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papersTODAY 04:00 UTC

Paper proposes lexicographic preference steering for pretrained robot policies

A new arXiv preprint introduces a method for adjusting pretrained generative robot policies at deployment time using lexicographic preferences. This lets operators express prioritized requirements that were not captured during training, instead of retraining or fine-tuning the policy. The approach targets situations where deployed robots face new constraints or user preferences.