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pro vyhledávání: '"HOU, Ming"'
Exploration is a significant challenge in practical reinforcement learning (RL), and uncertainty-aware exploration that incorporates the quantification of epistemic and aleatory uncertainty has been recognized as an effective exploration strategy. Ho
Externí odkaz:
http://arxiv.org/abs/2401.02914
Publikováno v:
Neurocomputing 530 (2023): 165-187
Sample efficiency is central to developing practical reinforcement learning (RL) for complex and large-scale decision-making problems. The ability to transfer and generalize knowledge gained from previous experiences to downstream tasks can significa
Externí odkaz:
http://arxiv.org/abs/2310.10818
Autor:
HajiAkhondi-Meybodi, Zohreh, Mohammadi, Arash, Hou, Ming, Abouei, Jamshid, Plataniotis, Konstantinos N.
Mobile Edge Caching (MEC) is a revolutionary technology for the Sixth Generation (6G) of wireless networks with the promise to significantly reduce users' latency via offering storage capacities at the edge of the network. The efficiency of the MEC n
Externí odkaz:
http://arxiv.org/abs/2210.15125
Autor:
HajiAkhondi-Meybodi, Zohreh, Mohammadi, Arash, Hou, Ming, Rahimian, Elahe, Heidarian, Shahin, Abouei, Jamshid, Plataniotis, Konstantinos N.
Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved as an efficient solution to meet the significant growth of global mobile data traffic by boosting the content diversity in the storage of caching nodes. To meet the dynamic natu
Externí odkaz:
http://arxiv.org/abs/2210.05874
Autor:
Lu, Yuanjia a, b, Gao, Jiyun c, Ye, Xiaolei a, b, ⁎, Yang, Li a, b, ⁎⁎, Gao, Lei a, b, ⁎⁎⁎, Hou, Ming a, b, Chen, Kaihua a, b, Guo, Shenghui a, b
Publikováno v:
In International Journal of Hydrogen Energy 13 January 2025 98:1185-1194
Autor:
Mon, Hsien-Chen, Lee, Pei-Chang, Hung, Yi-Ping, Hung, Ya-Wen, Wu, Chi-Jung, Lee, Chieh-Ju, Chi, Chen-Ta, Lee, I-Cheng, Hou, Ming-Chih, Huang, Yi-Hsiang
Publikováno v:
In Journal of Hepatology January 2025 82(1):51-61
Ultra-Wideband (UWB) is one of the key technologies empowering the Internet of Thing (IoT) concept to perform reliable, energy-efficient, and highly accurate monitoring, screening, and localization in indoor environments. Performance of UWB-based loc
Externí odkaz:
http://arxiv.org/abs/2205.08422
Publikováno v:
In Ceramics International 15 December 2024 50(24) Part C:55682-55692
Autor:
Li, Qizhao, Marcoux, Geneviève, Hu, Yuefen, Rebetz, Johan, Guo, Li, Semple, Elisabeth, Provan, Drew, Xu, Shuqian, Hou, Ming, Peng, Jun, Semple, John W.
Publikováno v:
In Autoimmunity Reviews December 2024 23(12)