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