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Kan Zheng

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Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control

Nov 19, 2023
Tong Liu, Lei Lei, Kan Zheng, Xuemin, Shen

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Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation

Nov 19, 2023
Lei Lei, Tong Liu, Kan Zheng, Xuemin, Shen

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Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning

Apr 28, 2023
Jiaju Qi, Lei Lei, Kan Zheng, Simon X. Yang, Xuemin, Shen

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Vision-Assisted mmWave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions and Open Challenges

Mar 31, 2023
Kan Zheng, Haojun Yang, Ziqiang Ying, Pengshuo Wang, Lajos Hanzo

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Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming

Jun 15, 2022
Tong Liu, Lei Lei, Kan Zheng, Kuan Zhang

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Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning

Jun 03, 2022
Jiaju Qi, Lei Lei, Kan Zheng, Simon X. Yang

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Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information

Mar 28, 2022
Lei Lei, Tong Liu, Kan Zheng, Lajos Hanzo

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Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles

Mar 19, 2022
Pengzun Gao, Long Zhao, Kan Zheng, Pingzhi Fan

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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

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