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Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

Aug 26, 2021
Jiaju Qi, Qihao Zhou, Lei Lei, Kan Zheng

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LSTM-based Anomaly Detection for Non-linear Dynamical System

Jun 05, 2020
Yue Tan, Chunjing Hu, Kuan Zhang, Kan Zheng, Ethan A. Davis, Jae Sung Park

* 8 pages, 6 figures 

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Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning

Feb 07, 2020
Lei Lei, Yue Tan, Glenn Dahlenburg, Wei Xiang, Kan Zheng

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Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

Jul 22, 2019
Lei Lei, Yue Tan, Shiwen Liu, Kan Zheng, Xuemin, Shen

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Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing

Jun 19, 2019
Lei Lei, Huijuan Xu, Xiong Xiong, Kan Zheng, Wei Xiang, Xianbin Wang

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Patent Analytics Based on Feature Vector Space Model: A Case of IoT

Apr 17, 2019
Lei Lei, Jiaju Qi, Kan Zheng

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Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks

Feb 25, 2019
Lingyi Han, Kan Zheng, Long Zhao, Xianbin Wang, Xuemin Shen

* 12 pages, 15 figures, journal 

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A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving

Feb 25, 2019
Shiwen Liu, Kan Zheng, Long Zhao, Pingzhi Fan

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An In-Vehicle KWS System with Multi-Source Fusion for Vehicle Applications

Feb 17, 2019
Yue Tan, Kan Zheng, Lei Lei

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