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cs.AI2026
RL-VLA: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training
Haoran Sun, Yongjian Guo, Zhong Guan +13
Reinforcement learning (RL) has emerged as a critical paradigm for post-training Vision-Language-Action (VLA) models, enabling embodied agents to adapt and improve through environm…
cs.AI2025
Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations
Xiaofeng Xiao, Bo Shen, Xubo Yue
Nowadays, as AI-driven manufacturing becomes increasingly popular, the volume of data streams requiring real-time monitoring continues to grow. However, due to limited resources, i…