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@BIT-MCS

BIT-MCS

Mobile Crowdsensing Research at Beijing Institute of Technology, supervised by Professor Chi (Harold) Liu

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  1. DRL-EC3 DRL-EC3 Public

    [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach

    Python 141 24

  2. DRL-eFresh DRL-eFresh Public

    [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning

    Python 62 4

  3. GCRL-min-AoI GCRL-min-AoI Public

    [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning

    Python 55 7

  4. DRL-UCS-AoI-Threshold DRL-UCS-AoI-Threshold Public

    [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer

    Python 47 2

  5. Cadre Cadre Public

    [AAAI 2022] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

    Python 29 2

  6. e-Divert e-Divert Public

    [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning

    Python 27 3

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