Multi-Dimensional Supervision Enables Combinatorial Generalization
chelseabfinn · x · 2026-07-03
With multi-dimensional supervision, robots can learn behaviors unseen in their training data. For instance, even if a task's dataset only contains slow movements, the model can generalize to perform it rapidly—a combinatorial generalization capability unattainable with traditional reward models.
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