3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
A Novel Noise Injection-based Training Scheme for Better Model Robustness
Zeliang Zhang, Jinyang Jiang, Minjie Chen +3
Noise injection-based method has been shown to be able to improve the robustness of artificial neural networks in previous work. In this work, we propose a novel noise injection-ba…
cs.LG2022★ 2 cited
AACC: Asymmetric Actor-Critic in Contextual Reinforcement Learning
Wangyang Yue, Yuan Zhou, Xiaochuan Zhang +3
Reinforcement Learning (RL) techniques have drawn great attention in many challenging tasks, but their performance deteriorates dramatically when applied to real-world problems. Va…