Zobrazeno 41 - 50
of 6 567
pro vyhledávání: '"Peng, Jian"'
Publikováno v:
In Information Sciences July 2024 674
Autor:
Ma, Hongliang, Zeng, Jiangyuan, Zhang, Xiang, Peng, Jian, Li, Xiaojun, Fu, Peng, Cosh, Michael H., Letu, Husi, Wang, Shaohua, Chen, Nengcheng, Wigneron, Jean-Pierre
Publikováno v:
In Remote Sensing of Environment 1 July 2024 308
Autor:
Xu, Bingquan, Huang, Wei, Wang, Junjun, Zhang, Song, Xu, Zhigang, Tu, Rong, Li, Wenjun, Peng, Jian, Wang, Chuanbin
Publikováno v:
In Journal of Crystal Growth 1-15 July 2024 637-638
Publikováno v:
In Talanta 1 July 2024 274
Publikováno v:
In Sustainable Cities and Society 1 July 2024 106
Autor:
Zhong, Shiyu, Fan, Lei, De Lannoy, Gabrielle, Frappart, Frédéric, Zeng, Jiangyuan, Vreugdenhil, Mariette, Peng, Jian, Liu, Xiangzhuo, Xing, Zanpin, Wang, Mengjia, Li, Xiaojun, Wang, Huan, Wigneron, Jean-Pierre
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation June 2024 130
Autor:
Hong, Haisheng, Miao, Xinting, Peng, Jian, Cao, Yang, Li, Jian, Chang, Le, Bie, Fengfeng, Li, Qianqian
Publikováno v:
In International Journal of Pressure Vessels and Piping June 2024 209
Publikováno v:
In Applied Geography June 2024 167
Autor:
Wang, Zhixia, Huang, Shengzhi, Singh, Vijay P., Mu, Zhenxia, Leng, Guoyong, Li, Ji, Duan, Weili, Ling, Hongbo, Xu, Jia, Nie, Mingqiu, Leng, Yulin, Gao, Yuejiao, Guo, Wenwen, Wei, Xiaoting, Deng, Mingjiang, Peng, Jian
Publikováno v:
In Journal of Hydrology: Regional Studies June 2024 53
Many practical applications of reinforcement learning require agents to learn from sparse and delayed rewards. It challenges the ability of agents to attribute their actions to future outcomes. In this paper, we consider the problem formulation of ep
Externí odkaz:
http://arxiv.org/abs/2111.13485