Blar i NTNU Open på forfatter "Ellefsen, Kai Olav"

Viser treff 1-4 av 4

    • A Framework for Evolution of Behaviour Switching 

      Melby, Jorunn Helene (Master thesis, 2013)
      In order to function in the real world, robotic agents must have a repertoire of behaviours to be applied at the appropriate time. Much progress has been made in the field of neuro-evolution for solving multiple tasks, but ...

    • Dynamic Scheduling for Autonomous Robotics 

      Ellefsen, Kai Olav (Master thesis, 2010)
      This project report describes a hybrid genetic algorithm that works as a schedule generator for a complex robotic harvesting task. The task is set to a dynamic environment with a robotic opponent, making responsiveness of ...

    • Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills 

      Ellefsen, Kai Olav; Mouret, Jean-Baptiste; Clune, Jeff (Journal article; Peer reviewed, 2015)
      A long-standing goal in artificial intelligence is creating agents that can learn a variety of different skills for different problems. In the artificial intelligence subfield of neural networks, a barrier to that goal is ...

    • The Evolution of Learning: Balancing adaptivity and stability in artificial agents 

      Ellefsen, Kai Olav (Doctoral thesis at NTNU;2014:258, Doctoral thesis, 2014)
      A longstanding challenge in artificial intelligence is to create agents that learn, enabling them to interact with and adapt to a complex and changing world. A better understanding of the evolution of learning may help ...