Zobrazeno 1 - 10
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pro vyhledávání: '"Li-an Chen"'
Autor:
Li, Wei-Chen, Lin, Chun-Yeon
Common imaging techniques for detecting structural defects typically require sampling at more than twice the spatial frequency to achieve a target resolution. This study introduces a novel framework for imaging structural defects using significantly
Externí odkaz:
http://arxiv.org/abs/2412.01055
Low sample efficiency is an enduring challenge of reinforcement learning (RL). With the advent of versatile large language models (LLMs), recent works impart common-sense knowledge to accelerate policy learning for RL processes. However, we note that
Externí odkaz:
http://arxiv.org/abs/2407.03964
Autor:
Li, Yi-Chen, Zhang, Fuxiang, Qiu, Wenjie, Yuan, Lei, Jia, Chengxing, Zhang, Zongzhang, Yu, Yang, An, Bo
Large Language Models (LLMs), trained on a large amount of corpus, have demonstrated remarkable abilities. However, it may not be sufficient to directly apply open-source LLMs like Llama to certain real-world scenarios, since most of them are trained
Externí odkaz:
http://arxiv.org/abs/2407.03856
Large language models (LLMs) have catalyzed a paradigm shift in natural language processing, yet their limited controllability poses a significant challenge for downstream applications. We aim to address this by drawing inspiration from the neural me
Externí odkaz:
http://arxiv.org/abs/2405.17039
Autor:
Lin, Haoxin, Xu, Yu-Yan, Sun, Yihao, Zhang, Zhilong, Li, Yi-Chen, Jia, Chengxing, Ye, Junyin, Zhang, Jiaji, Yu, Yang
Model-based methods in reinforcement learning offer a promising approach to enhance data efficiency by facilitating policy exploration within a dynamics model. However, accurately predicting sequential steps in the dynamics model remains a challenge
Externí odkaz:
http://arxiv.org/abs/2405.17031
Autor:
Wang, Ruo-Chen, Li, Zhuo-Chen, Fan, Xing-Yan, Xie, Xiang-Ru, Wei, Hong-Hao, Oh, Choo Hiap, Chen, Jing-Ling
In quantum information, the Werner state is a benchmark to test the boundary between quantum mechanics and classical models. There have been three well-known critical values for the two-qubit Werner state, i.e., $V_{\rm c}^{\rm E}=1/3$ characterizing
Externí odkaz:
http://arxiv.org/abs/2404.04048
Autor:
Jia, Chengxing, Zhang, Fuxiang, Li, Yi-Chen, Gao, Chen-Xiao, Liu, Xu-Hui, Yuan, Lei, Zhang, Zongzhang, Yu, Yang
Offline meta-reinforcement learning (OMRL) proficiently allows an agent to tackle novel tasks while solely relying on a static dataset. For precise and efficient task identification, existing OMRL research suggests learning separate task representati
Externí odkaz:
http://arxiv.org/abs/2403.07261
The violations of parity and Lorentz symmetries in gravity can change the propagating properties of gravitational waves (GWs) in the cosmological background, which can arise from a large number of parity- and Lorentz-violating theories. In this paper
Externí odkaz:
http://arxiv.org/abs/2403.05841
Autor:
Zhang, Xinyu, Qiu, Wenjie, Li, Yi-Chen, Yuan, Lei, Jia, Chengxing, Zhang, Zongzhang, Yu, Yang
Developing policies that can adjust to non-stationary environments is essential for real-world reinforcement learning applications. However, learning such adaptable policies in offline settings, with only a limited set of pre-collected trajectories,
Externí odkaz:
http://arxiv.org/abs/2402.11317
Autor:
Li, Fei-Chen, Tang, Yong-Bo
The refined values of the magnetic octupole moments of $^{113}$In and $^{115}$In are obtained by combining high-precision atomic calculations with corresponding hyperfine structure spectrum. We performed an \textit{ab initio }calculations of hyperfin
Externí odkaz:
http://arxiv.org/abs/2311.02285