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Zhiqian Liu

2 accepted papers

2026

On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations

ICLR 2026poster

In Vision–Language–Action (VLA) models, robustness to real-world perturbations is critical for deployment. Existing methods target simple visual disturbances, overlooking the broader multi-modal perturbations that arise in actions, instructions, environments, and observations. Here, we first evaluat…

Cited by 0SourcecodeScholar
2026

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning

ICML 2026poster

Partial agent failure becomes inevitable when systems scale up, making it crucial to identify the subset of agents whose failure causes worst-case system performance degradations. We study this Vulnerable Agent Identification (VAI) problem in large-scale multi-agent reinforcement learning (MARL). We…

Cited by 0SourceScholar