AI RESEARCH
Demystifying Action Space Design for Robotic Manipulation Policies
arXiv CS.CV
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ArXi:2602.23408v2 Announce Type: replace-cross The specification of the action space plays a pivotal role in imitation-based robotic manipulation policy learning, fundamentally shaping the optimization landscape of policy learning. While recent advances have focused heavily on scaling