Kai Olav Ellefsen
Kai Olav Ellefsen
Verifisert e-postadresse på ifi.uio.no - Startside
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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, ...
Artificial life 26 (2), 274-306, 2020
1532020
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
1292015
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
192017
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
152018
Evolved embodied phase coordination enables robust quadruped robot locomotion
J Nordmoen, TF Nygaard, KO Ellefsen, K Glette
Proceedings of the Genetic and Evolutionary Computation Conference, 133-141, 2019
132019
Dynamic mutation in MAP-Elites for robotic repertoire generation
J Nordmoen, E Samuelsen, KO Ellefsen, K Glette
ALIFE 2018: The 2018 Conference on Artificial Life, 598-605, 2018
102018
Evolved sensitive periods in learning
K Ellefsen
Artificial Life Conference Proceedings 13, 409-416, 2013
102013
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
92016
Balancing the costs and benefits of learning ability
K Ellefsen
Artificial Life Conference Proceedings 13, 292-299, 2013
92013
How do mixture density rnns predict the future?
KO Ellefsen, CP Martin, J Torresen
arXiv preprint arXiv:1901.07859, 2019
82019
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
62019
Deep predictive models in interactive music
CP Martin, KO Ellefsen, J Torresen
arXiv preprint arXiv:1801.10492, 2018
62018
The evolution of learning under environmental variability
K Ellefsen
Artificial Life Conference Proceedings 14, 649-656, 2014
52014
Guiding neuroevolution with structural objectives
KO Ellefsen, J Huizinga, J Torresen
Evolutionary computation 28 (1), 115-140, 2020
32020
Deep models for ensemble touch-screen improvisation
CP Martin, KO Ellefsen, J Torresen
Proceedings of the 12th International Audio Mostly Conference on Augmented …, 2017
32017
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics
J Nordmoen, F Veenstra, KO Ellefsen, K Glette
Frontiers in Robotics and AI 8, 2021
22021
Dynamic robot scheduling using a genetic algorithm
KO Ellefsen
2011 IEEE Congress of Evolutionary Computation (CEC), 2025-2032, 2011
22011
Quality and diversity in evolutionary modular robotics
J Nordmoen, F Veenstra, KO Ellefsen, K Glette
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2109-2116, 2020
12020
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
KO Ellefsen, J Torresen
Symposium of the Norwegian AI Society, 28-39, 2019
12019
Evolving neural networks with multiple internal models
KO Ellefsen, J Tørresen
Artificial Life Conference Proceedings 14, 138-145, 2017
12017
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Artikler 1–20