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Review on Peg-in-Hole Insertion Technology Based on Reinforcement Learning 会议论文
, Chongqing, China, 2023-11
作者:  Shen Liancheng;  Su Jianhua;  Zhang Xiaodong
Adobe PDF(254Kb)  |  收藏  |  浏览/下载：50/22  |  提交时间：2024/06/24
—Robot Peg-in-hole Insertion  Reinforcement Learning  Meta-Reinforcement Learning  
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2024, 页码: 10.1109/TITS.2024.3400227
作者:  Zeyu Gao;  Yao Mu;  Chen Chen;  Jingliang Duan;  Ping Luo;  Yanfeng Lu;  Shengbo Eben Li
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载：49/21  |  提交时间：2024/06/06
End-to-end autonomous driving  deep reinforcement learning  world model