Zobrazeno 1 - 10
of 638
pro vyhledávání: '"Liu Zeyuan"'
Publikováno v:
IET Electric Power Applications, Vol 17, Iss 11, Pp 1411-1422 (2023)
Abstract A backstepping controller based on a non‐linear disturbance observer (NDOB) was created to enhance the dynamic performance and reliability of three‐degree‐of‐freedom hybrid magnetic bearings. After the structure of three‐degree‐o
Externí odkaz:
https://doaj.org/article/ef786e4442ae4dddb9a4f7a8f4ad59c3
The Impact of Pipe Inclination on Sediment Deposition at the Sedimentation Basin in the Yellow River
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 8, Pp 127-135 (2023)
【Objective】 This paper aims to study the optimal layout of inclined pipes in sedimentation basins in attempts to improve sediment removal efficiency in the Yellow River. 【Method】 Three different layouts of inclined pipes were compared: a sing
Externí odkaz:
https://doaj.org/article/038e86cdb3c343d7bbe7d7164839bc3e
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp e190911-45 (2023)
Little is known about the genetic background of pigmented paravenous retinochoroidal atrophy (PPRCA) due to rarity of patients. In this study, we identified two pathogenic variants in RPGRIP1 in a 2-year-old boy with PPRCA screened by whole-exome seq
Externí odkaz:
https://doaj.org/article/3fc219301e534642b345b85c25c4ebc3
Distribution shift is a major obstacle in offline reinforcement learning, which necessitates minimizing the discrepancy between the learned policy and the behavior policy to avoid overestimating rare or unseen actions. Previous conservative offline R
Externí odkaz:
http://arxiv.org/abs/2406.07541
Autor:
Liu, Zeyuan, Huan, Ziyu, Wang, Xiyao, Lyu, Jiafei, Tao, Jian, Li, Xiu, Huang, Furong, Xu, Huazhe
Reinforcement learning struggles in the face of long-horizon tasks and sparse goals due to the difficulty in manual reward specification. While existing methods address this by adding intrinsic rewards, they may fail to provide meaningful guidance in
Externí odkaz:
http://arxiv.org/abs/2406.07381
Machine learning methods based on AdaBoost have been widely applied to various classification problems across many mission-critical applications including healthcare, law and finance. However, there is a growing concern about the unfairness and discr
Externí odkaz:
http://arxiv.org/abs/2401.03097
The partial observability and stochasticity in multi-agent settings can be mitigated by accessing more information about others via communication. However, the coordination problem still exists since agents cannot communicate actual actions with each
Externí odkaz:
http://arxiv.org/abs/2209.12713
Autor:
Liu, Zeyuan, Zhang, Lan
Publikováno v:
In Nonlinear Analysis: Real World Applications December 2024 80
Publikováno v:
In Neuropharmacology 1 November 2024 258
Autor:
Wang, Yihao, Wang, Xuying, Liu, Zeyuan, Chao, Shaoliang, Zhang, Jing, Zheng, Yixuan, Zhang, Yu, Xue, Wenbo, Wang, Jinnan, Lei, Yu
Publikováno v:
In Environmental Science and Ecotechnology November 2024 22