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Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

55 upvotes · 22 JUL 2026 · Jianshu Zhang, Keliang Wu, Haoran Lu et al.

This paper provides a comprehensive survey of progress reward modeling in robotic learning, aiming to bridge the gap in the field by offering a unified framework for understanding progress rewards. Practitioners in robotics and AI can care about this paper because it helps them understand the different approaches to progress rewards and how to evaluate their effectiveness.

robotic learningprogress rewardsreinforcement learningcontrolroboticstask execution