Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Wang, Cangqing"'
This research delves deeply into Meta Reinforcement Learning (Meta RL) through a exploration focusing on defining generalization limits and ensuring convergence. By employing a approach this article introduces an innovative theoretical framework to m
Externí odkaz:
http://arxiv.org/abs/2405.13290
Autor:
Wang, Cangqing, Yang, Yutian, Li, Ruisi, Sun, Dan, Cai, Ruicong, Zhang, Yuzhu, Fu, Chengqian, Floyd, Lillian
The rapid advancement of Large Language Models (LLMs) has inaugurated a transformative epoch in natural language processing, fostering unprecedented proficiency in text generation, comprehension, and contextual scrutiny. Nevertheless, effectively han
Externí odkaz:
http://arxiv.org/abs/2404.04997
Autor:
Li, Chen, Zheng, Haotian, Sun, Yiping, Wang, Cangqing, Yu, Liqiang, Chang, Che, Tian, Xinyu, Liu, Bo
In the realm of computational knowledge representation, Knowledge Graph Reasoning (KG-R) stands at the forefront of facilitating sophisticated inferential capabilities across multifarious domains. The quintessence of this research elucidates the empl
Externí odkaz:
http://arxiv.org/abs/2403.05801
Autor:
Wang, Cangqing
This study endeavors to conceptualize and execute a sophisticated agricultural greenhouse control system grounded in the amalgamation of the Internet of Things (IoT) and machine learning. Through meticulous monitoring of intrinsic environmental param
Externí odkaz:
http://arxiv.org/abs/2402.09488