• Hyperspectral Identification of Milk Adulteration Using Advance Deep Learning 

      Aqeel, Muhammad; Sohaib, Ahmed; Iqbal, Muhammad; Sajid Ullah, Syed (Journal article; Peer reviewed, 2024)
      Food adulteration poses significant health risks globally and is rigorously monitored by safety authorities. In developing nations, where milk is highly prone to contamination (with Brazil, India, China, and Pakistan ...
    • The Dreaming Variational Autoencoder for Reinforcement Learning Environments 

      Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Lecture Notes in Artificial Intelligence, Journal article; Peer reviewed, 2018)
      Reinforcement learning has shown great potential in generalizing over raw sensory data using only a single neural network for value optimization. There are several challenges in the current state-of-the-art reinforcement ...
    • Towards a deep reinforcement learning approach for Tower Line Wars 

      Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Lecture Notes in Artificial Intelligence, Journal article; Peer reviewed, 2017)
      There have been numerous breakthroughs with reinforcement learning in the recent years, perhaps most notably on Deep Reinforcement Learning successfully playing and winning relatively advanced computer games. There is ...