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Mingzhu Li

2 accepted papers

2026

Learning Native Continuation for Action Chunking Flow Policies

RSS 2026poster

Action chunking enables Vision Language Action (VLA) models to run in real time, but naive chunked execution often exhibits discontinuities at chunk boundaries. Real-Time Chunking (RTC) alleviates this issue but is external to the policy, leading to spurious multimodal switching and trajectories tha…

Cited by 0SourceScholar
2025

Bandit Learning in Matching Markets with Indifference

ICLR 2025poster

A rich line of recent works studies how participants in matching markets learn their unknown preferences through iterative interactions with each other. The two sides of participants in the market can be respectively formulated as players and arms in the bandit problem. To ensure market stability, t…

Cited by 0SourcePDFScholar