RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation

Pengzhi Yang, Xinyu Wang, Pengyu Jing +7

Reinforcement learning for robot manipulation is often bottlenecked by reward design, especially in long-horizon tasks: sparse success rewards provide weak supervision, while hand-…