Zobrazeno 1 - 10
of 802
pro vyhledávání: '"Liu Wenliang"'
Publikováno v:
Guangxi Zhiwu, Vol 44, Iss 4, Pp 699-709 (2024)
The taxonomic status of × Bolboschoenoplectus mariqueter (Tang & F. T. Wang) Tatanov is still up for debate. To clarify this status and explore its genetic relationship with closely related species, the candidate DNA barcode sequences of one nuclear
Externí odkaz:
https://doaj.org/article/61bacc0f5c70411c88544909e4bf4afd
This paper considers how heterogeneous multi-agent teams can leverage their different capabilities to mutually improve individual agent performance. We present Capability-Augmenting Tasks (CATs), which encode how agents can augment their capabilities
Externí odkaz:
http://arxiv.org/abs/2409.09285
We study the Out-of-Distribution (OOD) generalization in machine learning and propose a general framework that establishes information-theoretic generalization bounds. Our framework interpolates freely between Integral Probability Metric (IPM) and $f
Externí odkaz:
http://arxiv.org/abs/2403.19895
Imitation learning methods have demonstrated considerable success in teaching autonomous systems complex tasks through expert demonstrations. However, a limitation of these methods is their lack of interpretability, particularly in understanding the
Externí odkaz:
http://arxiv.org/abs/2402.10310
In this paper, we consider the problem of learning a neural network controller for a system required to satisfy a Signal Temporal Logic (STL) specification. We exploit STL quantitative semantics to define a notion of robust satisfaction. Guaranteeing
Externí odkaz:
http://arxiv.org/abs/2304.06160
Autor:
Liu, Saimiao1,2 (AUTHOR), Liu, Wenliang1,2 (AUTHOR) liuwl@aircas.ac.cn, Zhou, Yi1,2 (AUTHOR), Wang, Shixin1,2 (AUTHOR), Wang, Zhenqing1,2 (AUTHOR), Wang, Zhuochen1,2 (AUTHOR), Wang, Yanchao1,2 (AUTHOR), Wang, Xinran1,2 (AUTHOR), Hao, Luoyao1,2 (AUTHOR), Wang, Futao1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Dec2024, Vol. 16 Issue 23, p4571. 21p.
In this paper, we propose a learning-based framework to simultaneously learn the communication and distributed control policies for a heterogeneous multi-agent system (MAS) under complex mission requirements from Capability Temporal Logic plus (CaTL+
Externí odkaz:
http://arxiv.org/abs/2212.11792
We consider the problem of controlling a heterogeneous multi-agent system required to satisfy temporal logic requirements. Capability Temporal Logic (CaTL) was recently proposed to formalize such specifications for deploying a team of autonomous agen
Externí odkaz:
http://arxiv.org/abs/2210.01732
Autor:
Wang, Yunfei, Zhang, Jia-Hui, Li, Yuqing, Wu, Jizhou, Liu, Wenliang, Mei, Feng, Hu, Ying, Xiao, Liantuan, Ma, Jie, Chin, Cheng, Jia, Suotang
Mobility edge, a critical energy separating localized and extended excitations, is a key concept for understanding quantum localization. Aubry-Andr\'{e} (AA) model, a paradigm for exploring quantum localization, does not naturally allow mobility edge
Externí odkaz:
http://arxiv.org/abs/2204.12730
Publikováno v:
In Journal of Colloid And Interface Science December 2024 675:74-83