Zobrazeno 1 - 10
of 1 958
pro vyhledávání: '"Li, Huiping"'
Prioritized Experience Replay (PER) enables the model to learn more about relatively important samples by artificially changing their accessed frequencies. However, this non-uniform sampling method shifts the state-action distribution that is origina
Externí odkaz:
http://arxiv.org/abs/2311.14390
Centralized training is widely utilized in the field of multi-agent reinforcement learning (MARL) to assure the stability of training process. Once a joint policy is obtained, it is critical to design a value function factorization method to extract
Externí odkaz:
http://arxiv.org/abs/2311.00356
Prioritized Experience Replay (PER) is a technical means of deep reinforcement learning by selecting experience samples with more knowledge quantity to improve the training rate of neural network. However, the non-uniform sampling used in PER inevita
Externí odkaz:
http://arxiv.org/abs/2309.06684
The unaffordable computation load of nonlinear model predictive control (NMPC) has prevented it for being used in robots with high sampling rates for decades. This paper is concerned with the policy learning problem for nonlinear MPC with system cons
Externí odkaz:
http://arxiv.org/abs/2211.10075
Publikováno v:
Zhongguo aizheng zazhi, Vol 34, Iss 2, Pp 161-175 (2024)
Background and purpose: For patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer, trastuzumab treatment can prolong the overall survival and significantly improve the prognosis of patients. However, the refe
Externí odkaz:
https://doaj.org/article/48efb26de2c54ad4977ae3b73801824d
Autor:
Huang, Xiaoyu1 (AUTHOR), Li, Huiping1 (AUTHOR), Yang, Shangying2 (AUTHOR), Ma, Meijiao3 (AUTHOR), Lian, Yuanyuan3 (AUTHOR), Wu, Xueli3 (AUTHOR), Qi, Xiaolong1 (AUTHOR), Wang, Xuhui1 (AUTHOR), Rong, Weining1 (AUTHOR) rongweining426@126.com, Sheng, Xunlun3 (AUTHOR) shengxunlun@163.com
Publikováno v:
BMC Medical Genomics. 5/24/2024, Vol. 17 Issue 1, p1-11. 11p.
Energy efficiency and safety are two critical objectives for marine vehicles operating in environments with obstacles, and they generally conflict with each other. In this paper, we propose a novel online motion planning method of marine vehicles whi
Externí odkaz:
http://arxiv.org/abs/2112.05844
Autor:
Ma, Zhaohui, Jiang, Zeping, Li, Huiping, Lu, Aili, Wu, Shibiao, Lu, Hongji, Wen, Wanxing, Wang, Lixin, Yuan, Fang
Publikováno v:
In AJIC: American Journal of Infection Control July 2024 52(7):827-833
Autor:
Zhang, Liang, Yang, Hui, Duan, Xujie, Li, Huiping, Xu, Siriguleng, Chen, Hui, Wang, Jinlin, Wang, Yu, Liu, Shuying
Publikováno v:
In Virology June 2024 594