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cs.CV2022★ 17 cited
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma, Zhen Wang, Zhecheng Yuan +3
Visual reinforcement learning (RL), which makes decisions directly from high-dimensional visual inputs, has demonstrated significant potential in various domains. However, deployin…
cs.CV2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
Zhecheng Yuan, Guozheng Ma, Yao Mu +5
One of the key challenges in visual Reinforcement Learning (RL) is to learn policies that can generalize to unseen environments. Recently, data augmentation techniques aiming at en…