Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling
Quality-Controllable Policy is introduced, a robot policy that enables inference-time control over both individual quality attributes and their combinations and their combinations, and an iterative hindsight relabeling loop is proposed to extend the controllable quality range beyond initial demonstrations.
Sinjae Kang, Dongyeeb Shin, Jae-Joon Kim et al.
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