1 citations · 1 across the 2 of their papers we have counts for
4 papers
Alignment-Guided Flow Transformer for Efficient Vision-Language-Action Policy Learning
Shengchao Hu, Peng Wang, Qiyang Zhou +5
Recent advances in Vision-Language-Action (VLA) models point toward general-purpose robotic intelligence by unifying perception, instruction, and control. Despite impressive progre…
Q-learning Penalized Transformer for Safe Offline Reinforcement Learning
Shengchao Hu, Peng Wang, Jifeng Hu +5
This paper addresses the problem of safe offline reinforcement learning, which involves training a policy to satisfy safety constraints using an offline dataset. This problem is in…
SeWA: Selective Weight Average via Probabilistic Masking
Peng Wang, Shengchao Hu, Zerui Tao +5
Weight averaging has become a standard technique for enhancing model performance. However, methods such as Stochastic Weight Averaging (SWA) and Latest Weight Averaging (LAWA) ofte…
A Unified Analysis for Finite Weight Averaging
Peng Wang, Li Shen, Zerui Tao +3
Averaging iterations of Stochastic Gradient Descent (SGD) have achieved empirical success in training deep learning models, such as Stochastic Weight Averaging (SWA), Exponential M…