الباحثون

Wenchang Gao

المنشورات 2

نسخة أولية وصول مفتوح

Beyond In-Distribution Preservation: Recovering Generalization in Quantized VLAs via Vulnerability-Oriented Tuning

Shen Ruan, Wenchang Gao, Jin Wang وآخرون · 2026

Post-training quantization has been shown to preserve VLA performance under standard evaluation conditions, but whether it preserves the full-precision model's robustness and generalization remains underexplored. In this study, we systematically study the robustness and generalization of post-quantized VLA policies und …

نسخة أولية وصول مفتوح

PHIRL: Aligning Learned Rewards with Task Progress for Inverse Reinforcement Learning

Hang Yu, James Staley, Cheng Xi Tsou وآخرون · 2026

Human demonstrations provide dense policy-level information but sometimes lack local precision. Human feedback presents accurate local critiques, but offers sparse evaluations rather than direct policy guidance. We propose Progress-Heuristicized Inverse Reinforcement Learning (PHIRL), a data-efficient framework that le …

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