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Meta-Residual Policy Learning: Zero-Trial Robot Skill Adaptation via Knowledge Fusion 期刊论文
IEEE Robotics and Automation Letters, 2022, 卷号: 7, 期号: 7, 页码: 3656-3663
作者:  Peng Hao;  Tao Lu;  Shaowei Cui;  Junhang Wei;  YInghao Cai;  Shuo Wang
Adobe PDF(1750Kb)  |  收藏  |  浏览/下载：246/46  |  提交时间：2022/04/08
meta-learning  residual learning  
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun;  Yang, Jun;  Xu, Yancai;  Hou, Jiachen;  Xin, Kejun;  Wang, Fei-Yue
Adobe PDF(4053Kb)  |  收藏  |  浏览/下载：329/55  |  提交时间：2022/03/17
Task analysis  Optimization  Generative adversarial networks  Computational modeling  Automation  Training  Standards  Embedding  generative adversarial network  network alignment (NA)  optimal transport  unsupervised learning