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pro vyhledávání: '"Fu, Xian"'
Evolutionary Reinforcement Learning (ERL), which integrates Evolutionary Algorithms (EAs) and Reinforcement Learning (RL) for optimization, has demonstrated remarkable performance advancements. By fusing both approaches, ERL has emerged as a promisin
Externí odkaz:
http://arxiv.org/abs/2401.11963
Publikováno v:
Journal of Consumer Marketing, 2024, Vol. 41, Issue 4, pp. 424-438.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JCM-09-2022-5629
Publikováno v:
Asia Pacific Journal of Marketing and Logistics, 2023, Vol. 36, Issue 4, pp. 837-861.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/APJML-11-2022-0926
Deep Reinforcement Learning (Deep RL) and Evolutionary Algorithms (EA) are two major paradigms of policy optimization with distinct learning principles, i.e., gradient-based v.s. gradient-free. An appealing research direction is integrating Deep RL a
Externí odkaz:
http://arxiv.org/abs/2210.17375
Publikováno v:
In Construction and Building Materials 21 June 2024 432
Publikováno v:
In Construction and Building Materials 17 May 2024 428
Autor:
Fu, Xian-shu, Li, Chao-feng, Ji, Qing-ge, Yu, Xiao-ping, Ye, Zi-hong, Zhang, Ming-zhou, Zhang, Biao, Qiu, Yu-Lou
Publikováno v:
In Journal of Food Protection May 2024 87(5)
In physical-layer security, one of the most fundamental issues is the secrecy capacity. The objective of this paper is to determine the secrecy capacity for an indoor visible light communication system consisting of a transmitter, a legitimate receiv
Externí odkaz:
http://arxiv.org/abs/2109.11097
Autor:
Li, Chen-Xuan, Wang, Rui, Sun, Wen, Cui, Kangping, Fu, Xian-Zhong, Cui, Minshu, Chen, Yihan, Guo, Zhi, Liu, Yingying
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)
Publikováno v:
In Composites Part A April 2024 179