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Kai Olav Ellefsen
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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
2672020
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
1662015
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
332017
How do mixture density rnns predict the future?
KO Ellefsen, CP Martin, J Torresen
arXiv preprint arXiv:1901.07859, 2019
172019
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
172018
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
172018
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, 639173, 2021
142021
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
142019
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
102019
Evolved sensitive periods in learning
K Ellefsen
ECAL 2013: The Twelfth European Conference on Artificial Life, 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
ECAL 2013: The Twelfth European Conference on Artificial Life, 292-299, 2013
92013
Deep predictive models in interactive music
CP Martin, KO Ellefsen, J Torresen
arXiv preprint arXiv:1801.10492, 2018
82018
Guiding neuroevolution with structural objectives
KO Ellefsen, J Huizinga, J Torresen
Evolutionary Computation 28 (1), 115-140, 2020
72020
The evolution of learning under environmental variability
K Ellefsen
ALIFE 14: The Fourteenth International Conference on the Synthesis and …, 2014
72014
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
42020
Deep models for ensemble touch-screen improvisation
CP Martin, KO Ellefsen, J Torresen
Proceedings of the 12th International Audio Mostly Conference on Augmented …, 2017
42017
Behavioural plasticity can help evolving agents in dynamic environments but at the cost of volatility
CM Barnes, A Ekárt, KO Ellefsen, K Glette, PR Lewis, J Tørresen
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 15 (4), 1-26, 2021
32021
Coevolutionary learning of neuromodulated controllers for multi-stage and gamified tasks
CM Barnes, A Ekárt, KO Ellefsen, K Glette, PR Lewis, J Tørresen
2020 IEEE International Conference on Autonomic Computing and Self …, 2020
32020
Open-Ended Search for Environments and Adapted Agents Using MAP-Elites
ES Norstein, KO Ellefsen, K Glette
International Conference on the Applications of Evolutionary Computation …, 2022
22022
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