Browsing by Subject "deep reinforcement learning (DRL)"

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    • Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning 

      Ilahi, Inaam; Usama, Muhammad; Qadir, Junaid; Janjua, Muhammad Umar; Al-Fuqaha, Ala; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability to achieve high performance in a range of environments with little manual oversight. Despite its great advantages, DRL ...

    • Crowd counting Using DRL-based segmentation and RL-based density estimation 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ...

    • Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA 

      Shehab, Muhammad; Ciftler, Bekir S.; Khattab, Tamer; Abdallah, Mohamed M.; Trinchero, Daniele ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite ...