Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

21 February 2022

Papers citing "Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning"

5 / 5 papers shown

Title
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Abdulaziz Almuzairee Rohan Patil Dwait Bhatt Henrik I. Christensen 34 0 0 07 May 2025
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning Zeyu Gao Yao Mu Jinye Qu Mengkang Hu Lingyue Guo Ping Luo Yanfeng Lu Ping Luo Shanghang Zhang Yanfeng Lu 54 10 0 14 Jun 2024
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation Siao Liu Zhaoyu Chen Yang Liu Yuzheng Wang Dingkang Yang ... Ziqing Zhou Xie Yi Wei Li Wenqiang Zhang Zhongxue Gan 41 22 0 02 Aug 2023
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 38 26 0 10 Oct 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 36 30 0 16 Sep 2022