Zobrazeno 1 - 10 of 49 pro vyhledávání: '"Dong, Linsen"'
3
Report
Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins
Autor: Wang, Ruihang, Zhou, Xin, Dong, Linsen, Wen, Yonggang, Tan, Rui, Chen, Li, Wang, Guan, Zeng, Feng
Computational fluid dynamics (CFD) model has been widely used for prototyping data centers. Evolving it to high-fidelity {\em digital twin} is desirable for the management and operations of large-scale data centers. Manually calibrating CFD model par
Externí odkaz: http://arxiv.org/abs/2001.10681
Zobrazit plný text záznamu
4
Report
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Autor: Dong, Linsen, Gao, Guanyu, Zhang, Xinyi, Chen, Liangyu, Wen, Yonggang
Model-Based Reinforcement Learning (MBRL) is one category of Reinforcement Learning (RL) algorithms which can improve sampling efficiency by modeling and approximating system dynamics. It has been widely adopted in the research of robotics, autonomou
Externí odkaz: http://arxiv.org/abs/1904.10762
Zobrazit plný text záznamu
6
Report
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis
Autor: Gao, Guanyu, Dong, Linsen, Zhang, Huaizheng, Wen, Yonggang, Zeng, Wenjun
Adaptive bitrate (ABR) streaming is the de facto solution for achieving smooth viewing experiences under unstable network conditions. However, most of the existing rate adaptation approaches for ABR are content-agnostic, without considering the seman
Externí odkaz: http://arxiv.org/abs/1811.06663
Zobrazit plný text záznamu
7
Report
Intelligent Trainer for Model-Based Reinforcement Learning
Autor: Li, Yuanlong, Dong, Linsen, Zhou, Xin, Wen, Yonggang, Guan, Kyle
Model-based reinforcement learning (MBRL) has been proposed as a promising alternative solution to tackle the high sampling cost challenge in the canonical reinforcement learning (RL), by leveraging a learned model to generate synthesized data for po
Externí odkaz: http://arxiv.org/abs/1805.09496
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje