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cs.LG2024
Demystifying Lazy Training of Neural Networks from a Macroscopic Viewpoint
Yuqing Li, Tao Luo, Qixuan Zhou
In this paper, we advance the understanding of neural network training dynamics by examining the intricate interplay of various factors introduced by weight parameters in the initi…
cs.LG2024
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning
Shuyu Yin, Qixuan Zhou, Fei Wen +1
Deep reinforcement learning excels in numerous large-scale practical applications. However, existing performance analyses ignores the unique characteristics of continuous-time cont…