6 citations · 13 across the 5 of their papers we have counts for
5 papers
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field
Xianzhong Ding, Wan Du
Agricultural irrigation is a significant contributor to freshwater consumption. However, the current irrigation systems used in the field are not efficient. They rely mainly on soi…
Multi-zone HVAC Control with Model-Based Deep Reinforcement Learning
Xianzhong Ding, Alberto Cerpa, Wan Du
In this paper, we conduct a set of experiments to analyze the limitations of current MBRL-based HVAC control methods, in terms of model uncertainty and controller effectiveness. Us…
Exploring Deep Reinforcement Learning for Holistic Smart Building Control
Xianzhong Ding, Alberto Cerpa, Wan Du
In this paper, we take a holistic approach to deal with the tradeoffs between energy use and comfort in commercial buildings. We developed a system called OCTOPUS, which employs a…
Retrieving Similar Trajectories from Cellular Data at City Scale
Zhihao Shen, Wan Du, Xi Zhao +1
Retrieving similar trajectories from a large trajectory dataset is important for a variety of applications, like transportation planning and mobility analysis. Unlike previous work…
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices
Jie Liu, Jiawen Liu, Wan Du +1
Training deep learning models on mobile devices recently becomes possible, because of increasing computation power on mobile hardware and the advantages of enabling high user exper…