21 citations · 27 across the 4 of their papers we have counts for
4 papers
Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins
Ruihang Wang, Xin Zhou, Linsen Dong +5
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 oper…
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Linsen Dong, Guanyu Gao, Xinyi Zhang +2
Model-Based Reinforcement Learning (MBRL) is one category of Reinforcement Learning (RL) algorithms which can improve sampling efficiency by modeling and approximating system dynam…
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis
Guanyu Gao, Linsen Dong, Huaizheng Zhang +2
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…
Intelligent Trainer for Model-Based Reinforcement Learning
Yuanlong Li, Linsen Dong, Xin Zhou +2
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 (…