Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Liu Zifan"'
Publikováno v:
中国工程科学, Vol 25, Iss 6, Pp 27-38 (2023)
Supporting seamless global coverage, satellite Internet is an important expansion and extension of terrestrial communication systems, plays a key role in the space–air–ground integrated network, and acts as an important information infrastructure
Externí odkaz:
https://doaj.org/article/72bb7fee3426499fb8583d76a46c1d21
Reinforcement learning (RL) has proven to be well-performed and general-purpose in the inventory control (IC). However, further improvement of RL algorithms in the IC domain is impeded due to two limitations of online experience. First, online experi
Externí odkaz:
http://arxiv.org/abs/2406.18351
In multi-agent reinforcement learning (MARL), effective exploration is critical, especially in sparse reward environments. Although introducing global intrinsic rewards can foster exploration in such settings, it often complicates credit assignment a
Externí odkaz:
http://arxiv.org/abs/2405.18110
Denial Constraint (DC) is a well-established formalism that captures a wide range of integrity constraints commonly encountered, including candidate keys, functional dependencies, and ordering constraints, among others. Given their significance, ther
Externí odkaz:
http://arxiv.org/abs/2309.12436
Automated slicing aims to identify subsets of evaluation data where a trained model performs anomalously. This is an important problem for machine learning pipelines in production since it plays a key role in model debugging and comparison, as well a
Externí odkaz:
http://arxiv.org/abs/2212.09032
Autor:
Ge, Yu, Wang, Yue, Chen, Yanqi, Xu, Xinbing, Liu, Zifan, Yin, Zhonglong, Dai, Yong, Liu, Fuqiang, Yang, Weiben
Publikováno v:
In Chemical Engineering Journal 1 September 2024 495
Autor:
Gu, Wenqi, Wang, Yuning, Sun, Yuanyuan, Liu, Zifan, Wang, Wenjia, Wu, Di, Zhang, Yuxue, Sun, Wen, Wang, Xin, Feng, Zhibo, Zhang, Weiming, Chen, Wenfu
Publikováno v:
In Science of the Total Environment 15 November 2024 951
Autor:
Liu, Zifan, Meng, Yu, Wang, Yue, Zhang, Zepeng, Yin, Zhonglong, Dai, Yong, Liu, Fuqiang, Yang, Weiben
Publikováno v:
In Applied Catalysis B: Environment and Energy 5 November 2024 356
Publikováno v:
In Separation and Purification Technology 19 February 2025 354 Part 1
Data corruption is an impediment to modern machine learning deployments. Corrupted data can severely bias the learned model and can also lead to invalid inferences. We present, Picket, a simple framework to safeguard against data corruptions during b
Externí odkaz:
http://arxiv.org/abs/2006.04730