One Policy, Many Styles: Where to Aggregate Preferences for Steerable Humanoid Control?
Modern robotic agents are increasingly expected to support steerable control, where a single policy can adjust its behavioral style at runtime under changing user preferences. Preference-conditioned reinforcement learning provides this interface, but conditioning alone does not ensure that a requested behavior change i...