3 papers
cs.LG2026
DiffSlack: Learning under Nonlinear Inequality Constraints via Learnable Slack Variables
Ziqian Wang, Chenxi Fang, Zhen Zhang
Enforcing nonlinear inequality constraints in neural networks remains challenging, especially when the output is subject to many coupled constraints. Existing hard constraint metho…
cs.RO2026
Q-VGM: Q-Guided Value-Gradient Matching for Offline-to-Online RL of Flow-Matching VLA Policies
Ziqian Wang, Rui Zhang, Yitian Liu +3
We propose Q-Guided Value-Gradient Matching (Q-VGM), an offline-to-online RL method for fine-tuning flow-matching vision-language-action policies with a learned critic. Directly ap…
cs.RO2026
Self-Supervised Path Planning in Unstructured Environments via Global-Guided Differentiable Hard Constraint Projection
Ziqian Wang, Chenxi Fang, Zhen Zhang
Deploying deep learning agents for autonomous navigation in unstructured environments faces critical challenges regarding safety, data scarcity, and limited computational resources…