Kai Olav Ellefsen
Kai Olav Ellefsen
Verifisert e-postadresse på ifi.uio.no - Startside
TittelSitert avÅr
Neural modularity helps organisms evolve to learn new skills without forgetting old skills
KO Ellefsen, JB Mouret, J Clune
PLoS computational biology 11 (4), e1004128, 2015
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities
J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ...
arXiv preprint arXiv:1803.03453, 2018
Planning inspection paths through evolutionary multi-objective optimization
KO Ellefsen, HA Lepikson, JC Albiez
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 893-900, 2016
Balancing the costs and benefits of learning ability
K Ellefsen
Artificial Life Conference Proceedings 13, 292-299, 2013
Evolved sensitive periods in learning
K Ellefsen
Artificial Life Conference Proceedings 13, 409-416, 2013
Combining map-elites and incremental evolution to generate gaits for a mammalian quadruped robot
J Nordmoen, KO Ellefsen, K Glette
International Conference on the Applications of Evolutionary Computation …, 2018
Multiobjective coverage path planning: Enabling automated inspection of complex, real-world structures
KO Ellefsen, HA Lepikson, JC Albiez
Applied Soft Computing 61, 264-282, 2017
Deep predictive models in interactive music
CP Martin, KO Ellefsen, J Torresen
arXiv preprint arXiv:1801.10492, 2018
Dynamic mutation in MAP-Elites for robotic repertoire generation
J Nordmoen, E Samuelsen, KO Ellefsen, K Glette
Artificial Life Conference Proceedings, 598-605, 2018
Evolved embodied phase coordination enables robust quadruped robot locomotion
J Nordmoen, TF Nygaard, KO Ellefsen, K Glette
arXiv preprint arXiv:1904.03855, 2019
Deep models for ensemble touch-screen improvisation
CP Martin, KO Ellefsen, J Torresen
Proceedings of the 12th International Audio Mostly Conference on Augmented …, 2017
The evolution of learning under environmental variability
K Ellefsen
Artificial Life Conference Proceedings 14, 649-656, 2014
Evolving neural networks with multiple internal models
KO Ellefsen, J Tørresen
Artificial Life Conference Proceedings 14, 138-145, 2017
Different regulation mechanisms for evolved critical periods in learning
KO Ellefsen
2013 IEEE congress on evolutionary computation, 1193-1200, 2013
Dynamic robot scheduling using a genetic algorithm
KO Ellefsen
2011 IEEE Congress of Evolutionary Computation (CEC), 2025-2032, 2011
Dynamic Scheduling for Autonomous Robotics
KO Ellefsen
Institutt for datateknikk og informasjonsvitenskap, 2010
A Categorization of Reinforcement Learning Exploration Techniques which Facilitates Combination of Different Methods
BI Teigen, KO Ellefsen, J Torresen
2019 Joint IEEE 9th International Conference on Development and Learning and …, 2019
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing
TF Nygaard, J Nordmoen, KO Ellefsen, CP Martin, J Tørresen, K Glette
Symposium of the Norwegian AI Society, 58-68, 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
KO Ellefsen, J Torresen
arXiv preprint arXiv:1904.02435, 2019
Guiding Neuroevolution with Structural Objectives
KO Ellefsen, J Huizinga, J Torresen
Evolutionary computation, 1-26, 2019
Systemet kan ikke utføre handlingen. Prøv igjen senere.
Artikler 1–20