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Preprint Aug 2026

GAINS: Leveraging Inconsistent Human Intervention Signals in Reinforcement Learning

Correcting robot manipulation policies through human intervention holds great promise for real-world deployment, yet human operators are inherently imperfect in both the actions they provide and the timing of their intervention signals. While the former has been extensively discussed in reinforcement learning (RL), the...

Xin-Yi Zhang, Yi-Nuo Zhao, Pei Ren et al. · 1 citation

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