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20132021
most citedDeep Reinforcement Learning for Smart Home Energy Management

471 citations · 1.4k across the 55 of their papers we have counts for

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Showing 2019Show all

12 papers · 1 filter

cs.RO2019

RF Backscatter-based State Estimation for Micro Aerial Vehicles

Shengkai Zhang, Wei Wang, Ning Zhang +1

The advances in compact and agile micro aerial vehicles (MAVs) have shown great potential in replacing human for labor-intensive or dangerous indoor investigation, such as warehous…

cs.NI2019★ 2 cited

Reliable Wide-Area Backscatter via Channel Polarization

Guochao Song, Hang Yang, Wei Wang +1

A long-standing vision of backscatter communications is to provide long-range connectivity and high-speed transmissions for batteryless Internet-of-Things (IoT). Recent years have…

cs.CR2019

Lightweight Sybil-Resilient Multi-Robot Networks by Multipath Manipulation

Yong Huang, Wei Wang, Yiyuan Wang +2

Wireless networking opens up many opportunities to facilitate miniaturized robots in collaborative tasks, while the openness of wireless medium exposes robots to the threats of Syb…

cs.NI2019

State-Aware Rate Adaptation for UAVs by Incorporating On-Board Sensors

Shiyue He, Wei Wang, Hang Yang +3

Nowadays unmanned aerial vehicles (UAVs) are being widely applied to a wealth of civil and military applications. Robust and high-throughput wireless communication is the crux of t…

eess.SP2019★ 2 cited

Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs

Xuedou Xiao, Wei Wang, Taobin Chen +3

Recent advances in unmanned aerial vehicle (UAV) technology have revolutionized a broad class of civil and military applications. However, the designs of wireless technologies that…

eess.SY2019★ 471 cited

Deep Reinforcement Learning for Smart Home Energy Management

Liang Yu, Weiwei Xie, Di Xie +6

In this paper, we investigate an energy cost minimization problem for a smart home in the absence of a building thermal dynamics model with the consideration of a comfortable tempe…