ProgressCompass: Embodied Progress Reward Models Are Lost Without the Right Context
Embodied agents now take on ever longer tasks. For long tasks, knowing only whether a task finally succeeds or fails says little; the steps along the way matter. Progress Reward Models (PRMs) score how far a task has come at every step, and serve as dense rewards, verifiers and monitors. Yet in long tasks the current f...
Jian-Shu Zhang, Ke-Liang Wu, Cheng-Xuan Qian et al.
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