Zobrazeno 1 - 10
of 2 032
pro vyhledávání: '"LI Huiping"'
Autor:
ZHENG Zhen, LENG Dongmei, ZHENG Ying, YAO Pengfeng, WEI Xuexia, PANG Weihai, XIE Li, LI Huiping
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 11, Pp 131-139 (2023)
【Objective】 This study delves into the successional interrelationship between algal communities and environmental factors to uncover the mechanisms behind water bloom outbreaks in Shanzai Reservoir. 【Method】 Utilizing redundancy analysis and
Externí odkaz:
https://doaj.org/article/44718be2e5ab4b92815ad3f144d81589
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 42, Iss 6, Pp 577-582 (2022)
This study examined and summarized the operations and achievements of laboratory animal license administration in Guangdong Province and presents preliminary suggestions based on the deficiencies in the current administration. The study utilized labo
Externí odkaz:
https://doaj.org/article/b4d8bdc6a12d4c65af8ca81978a70340
Publikováno v:
Shiyan dongwu yu bijiao yixue, Vol 41, Iss 4, Pp 363-368 (2021)
The study takes the laboratory animal e-commerce platform as the analysis object, pays attention to data characteristics of product category and data indicators such as the number of visits, click-through rates, conversion rates, and search rates dur
Externí odkaz:
https://doaj.org/article/adb5bf73bdef463486a86bf3c41d2514
This paper studies the problem of multi-agent trajectory prediction in crowded unknown environments. A novel energy function optimization-based framework is proposed to generate prediction trajectories. Firstly, a new energy function is designed for
Externí odkaz:
http://arxiv.org/abs/2407.09068
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:
In Journal of Functional Foods October 2024 121