• Employing Deep Learning for Fish Recognition 

      Reithaug, Adrian (Master thesis, 2018-08-21)
      Underwater imagery processing is in high demand, but the unrestricted environment makes it difficult to develop methods for analyzing it. Not only is obtaining a dataset for a single species difficult, but there are reported ...
    • Reinforcement Learning for Lifelong Multi-Agent Pathfinding in AutoStore system 

      Djupesland, Elias Eriksen (Master thesis, 2023-05-25)
      AutoStore (AS) uses a cubic system for warehouse automation, utilizing robots to retrieve and organize objects in a three-dimensional grid of bins in a Manhattan geometry environment. Lifelong Multi-Agent Pathfinding (LMAPF) ...