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Reinforcement Learning (RL) and Imitation Learning (IL) have made great progress in robotic control in recent years. However, these methods show obvious deterioration for new tasks that need to be completed through new combinations of actions. RL met
Externí odkaz:
http://arxiv.org/abs/2209.04100
Autor:
Zhang, Yiyuan, Fan, Wei, Zou, Zhiyu, Zhang, Junjie, Zhao, Yonggang, Wang, Wenrui, Hu, Shicheng, Wen, Caining
Publikováno v:
In Ocean Engineering 15 August 2024 306
Autor:
Xie, Lu, Wu, Guangda, Fu, Xuefei, Wang, Xinyang, Li, Chunyang, Peng, Qing, Wang, Wenrui, Zhang, Yong, Huang, Yanbin
Publikováno v:
In Materials Today Communications August 2024 40
Publikováno v:
In Intermetallics July 2024 170
Publikováno v:
In Journal of Materials Science & Technology 1 July 2024 186:219-230
Publikováno v:
In Materials Today Communications June 2024 39
Publikováno v:
In Materials Science & Engineering A October 2024 913
Publikováno v:
In Cement and Concrete Composites September 2024 152
Publikováno v:
In Construction and Building Materials 17 May 2024 428
Publikováno v:
In Polymer Degradation and Stability May 2024 223