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Sparse human guidance, covering less than 20% of interactions, is sufficient to dramatically improve real-world mobile manipulation performance by reshaping the critic's value landscape.
Quality-aware pretraining strategies, particularly approach-aware episode conditioning, can significantly outperform plain behavioral cloning in VLA tasks, with optimal choices depending on label granularity and model architecture.