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  • TU München, Germany

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  1. DIRAL DIRAL Public

    Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication

    Python 97 28

  2. WSN WSN Public

    Intelligent Transportation System with Wireless Sensor Networks

    C

  3. uzairakbar/rl-obstacle-avoidance uzairakbar/rl-obstacle-avoidance Public

    LIDAR based Obstacle Avoidance with Reinforcement Learning

    Jupyter Notebook 62 12

  4. SDN SDN Public

    Software-defined Networking "Implementation of measurement-based QoS mechanisms"

    Python 5 4

  5. adp_rl adp_rl Public

    Approximate Dynamic Programming and Reinforcement Learning - Programming Assignment

    Python 8

  6. ams-des ams-des Public

    Analysis, Modeling and Simulation of Communication Networks - Discrete Event Simulator implementation

    Python 5 1