3 papers
cs.LG2026
Learning to Trust Experience: A Monitor-Trust-Regulator Framework for Learning under Unobservable Feedback Reliability
Zhipeng Zhang, Zhenjie Yao, Kai Li +1
Learning under unobservable feedback reliability poses a distinct challenge beyond optimization robustness: a system must decide whether to learn from an experience, not only how t…
cs.LG2026
Training instability in deep learning follows low-dimensional dynamical principles
Zhipeng Zhang, Zhenjie Yao, Kai Li +1
Deep learning systems achieve remarkable empirical performance, yet the stability of the training process itself remains poorly understood. Training unfolds as a high-dimensional d…
cs.LG2026
Meta-Cognitive Reinforcement Learning with Self-Doubt and Recovery
Zhipeng Zhang, Xiongfei Su, Kai Li
Robust reinforcement learning methods typically focus on suppressing unreliable experiences or corrupted rewards, but they lack the ability to reason about the reliability of their…