Zobrazeno 1 - 10
of 2 117
pro vyhledávání: '"Tu Wei"'
Publikováno v:
Shipin yu jixie, Vol 38, Iss 2, Pp 167-172,202 (2022)
Objective: In order to improve the detection effect of egg linear and reticular cracks. Methods: As the low convergence efficiency of Grasshopper optimization algorithm （GOA） in solving high-dimensional complex optimization problems, an improved
Externí odkaz:
https://doaj.org/article/0ab8780a78a14baabe842eddae6d3b3d
Publikováno v:
Dianzi Jishu Yingyong, Vol 47, Iss 3, Pp 36-39 (2021)
In the battery management system, the accurate estimation of State of Charge(SOC) has an important position, its impor- tance is not only to the user prompt battery remaining power, more is that it is the basis of the battery charge and discharge man
Externí odkaz:
https://doaj.org/article/005d6064f5424fbd9ba3ee43fd461333
Autor:
Zhang, Ruize, Xu, Zelai, Ma, Chengdong, Yu, Chao, Tu, Wei-Wei, Huang, Shiyu, Ye, Deheng, Ding, Wenbo, Yang, Yaodong, Wang, Yu
Self-play, characterized by agents' interactions with copies or past versions of itself, has recently gained prominence in reinforcement learning. This paper first clarifies the preliminaries of self-play, including the multi-agent reinforcement lear
Externí odkaz:
http://arxiv.org/abs/2408.01072
The advent of deep reinforcement learning (DRL) has significantly advanced the field of robotics, particularly in the control and coordination of quadruped robots. However, the complexity of real-world tasks often necessitates the deployment of multi
Externí odkaz:
http://arxiv.org/abs/2403.16015
Recent advancements in large language models (LLMs) have revealed their potential for achieving autonomous agents possessing human-level intelligence. However, existing benchmarks for evaluating LLM Agents either use static datasets, potentially lead
Externí odkaz:
http://arxiv.org/abs/2402.16499
We present OpenRL, an advanced reinforcement learning (RL) framework designed to accommodate a diverse array of tasks, from single-agent challenges to complex multi-agent systems. OpenRL's robust support for self-play training empowers agents to deve
Externí odkaz:
http://arxiv.org/abs/2312.16189
Publikováno v:
Physical Review Research 6, 023297 (2024)
In this work, we study two different quantum simulators composed of molecules with dipole-dipole interaction through various theoretical and numerical tools. Our first result provides knowledge upon the quantum order by disorder effect of the $S=1/2$
Externí odkaz:
http://arxiv.org/abs/2310.00849
The rise of deepfake images, especially of well-known personalities, poses a serious threat to the dissemination of authentic information. To tackle this, we present a thorough investigation into how deepfakes are produced and how they can be identif
Externí odkaz:
http://arxiv.org/abs/2309.02218
Autor:
Tu, Wei-Lin, Vanderstraeten, Laurens, Schuch, Norbert, Lee, Hyun-Yong, Kawashima, Naoki, Chen, Ji-Yao
Publikováno v:
PRX Quantum 5, 010335 (2024)
Diagrammatic summation is a common bottleneck in modern applications of projected entangled-pair states, especially in computing low-energy excitations of a two-dimensional quantum many-body system. To solve this problem, here we extend the generatin
Externí odkaz:
http://arxiv.org/abs/2307.08083