Author

Jun Lv

3 papers indexed here

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Preprint Oct 2026

Value as Memory: Online Value-Guided Post-training for General Robot Policies

Real-world post-training of generalist robot policies faces two challenges: partial observability makes action selection ambiguous, while offline post-training methods delay feedback from deployment experience. We present Value as Memory (VaM), a framework that addresses these challenges through value caching and onlin...

Wen-Ye Yu, Yi-Jin Chen, Kai Xiong et al. · 0 citations

#artificial intelligence Review Oct 2026

RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments

A generalist robot should not only perform diverse tasks but also improve through experience, turning what it learns during execution into capabilities that later tasks can reuse. Robot agents that act through code can already repair programs from execution feedback, yet it remains a central challenge to organize this...

Zi-Mo Wen, Yi-Jin Chen, Yuxuan Cao et al. · 4 citations

#artificial intelligence Jul 2026

Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection

Across towel folding, book insertion, and Hanoi ring placement, LIFT learns faster and reaches higher performance than vision-only post-training, while ablations show that reactive force memory and online corrective data are both important for robust contact-rich manipulation.

Yi Wang, Wen-Di Chen, Zi-Mo Wen et al. · arXiv.org · 4 citations