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cs.LG2025
Explainable Learning Rate Regimes for Stochastic Optimization
Zhuang Yang
Modern machine learning is trained by stochastic gradient descent (SGD), whose performance critically depends on how the learning rate (LR) is adjusted and decreased over time. Yet…
cs.RO2025
Adaptive Diffusion Policy Optimization for Robotic Manipulation
Huiyun Jiang, Zhuang Yang
Recent studies have shown the great potential of diffusion models in improving reinforcement learning (RL) by modeling complex policies, expressing a high degree of multi-modality,…