Author

Yiming Fei

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Preprint Sep 2026

PF-RL: Progress Field Reinforcement Learning via Goal-Conditioned Value Geometry for Vision-Language-Action Models

Reinforcement Fine-Tuning~(RFT) has emerged as a promising paradigm for improving Vision-Language-Action~(VLA) policies, yet sparse task-level outcomes provide limited credit for intermediate transitions, especially in long-horizon manipulation. A natural approach is to model intermediate task progress and use it as de...

Yun-Peng Qing, Yi-Lun Kong, Si-Xu Lin et al. · 0 citations

Preprint Aug 2026

Rethinking Demonstration Unlearning in Imitation Learning for Robotics

Imitation learning for robotics depends on human demonstrations, some of which people may later ask to remove. Retraining without them is the natural reference, but its cost grows with policy and dataset scale, motivating cheaper operators that edit a trained policy. Metrics inherited from machine unlearning, such as f...

Jia-Zhuo Li, Yu Zhang, Yi-Ming Fei et al. · 1 citation

Preprint Aug 2026

Dueling World Models: Advantage-Style Action Channels for Common-Mode Distractor Rejection

In latent dynamics, subtracting a prediction's mean effect over actions cancels whatever the actions share--the action-independent variation where distractors live--leaving a clean, controllable channel, with no reward, no reconstruction, and no distractor-specific auxiliary loss.

Jiazhuo Li, Yiming Fei, Zhiruo Zhou et al. · 0 citations