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2020 – today

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2024
[c29]
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Didrik Spanne Reilstad, Kai Olav Ellefsen:
Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution. EvoApplications@EvoStar 2024: 19-35
[c28]
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Ola Thorsen, Emmanuel Esema, Said Hemaz, Kai Olav Ellefsen, Henrik Herrebrøden, Hugh A. von Arnim, Jim Torresen:
Can machine learning help reveal the competitive advantage of elite beach volleyball players? SCAI 2024: 57-66
2023
[j8]
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Mathias K. Nilsen, Tønnes F. Nygaard, Kai Olav Ellefsen:
Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms. Genet. Program. Evolvable Mach. 24(2): 12 (2023)
[c27]
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Carlo Augusto Grazia, Jim Torresen:
A Lower Bound on Latency Spikes for Capacity-Seeking Network Traffic. ICC Workshops 2023: 1124-1129
[i15]
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Emma Stensby Norstein, Kai Olav Ellefsen, Kyrre Glette:
Open-ended search for environments and adapted agents using MAP-Elites. CoRR abs/2305.01153 (2023)
[i14]
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Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette:
Evolution of linkages for prototyping of linkage based robots. CoRR abs/2305.01161 (2023)
[i13]
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  - journals/corr/abs-2311-14328
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Shin Watanabe, Geir Horn, Jim Tørresen, Kai Olav Ellefsen:
Offline Skill Generalization via Task and Motion Planning. CoRR abs/2311.14328 (2023)
2022
[j7]
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Kai Olav Ellefsen, Kerstin Dautenhahn, Jim Torresen:
Guest Editorial Special Issue on Development and Learning and on Epigenetic Robotics. IEEE Trans. Cogn. Dev. Syst. 14(4): 1302-1305 (2022)
[c26]
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Bjørn Ivar Teigen, Neil Davies, Peter Thompson, Kai Olav Ellefsen, Tor Skeie, Jim Torresen:
ΔQ Generative Models: Modeling Time-Variation in Network Quality. CNSM 2022: 233-239
[c25]
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Emma Stensby Norstein, Kai Olav Ellefsen, Kyrre Glette:
Open-Ended Search for Environments and Adapted Agents Using MAP-Elites. EvoApplications 2022: 651-666
[c24]
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Ørjan Strand, Didrik Spanne Reilstad, Zhenying Wu, Bruno Castro da Silva, Jim Torresen, Kai Olav Ellefsen:
RADAR: Reactive and Deliberative Adaptive Reasoning - Learning When to Think Fast and When to Think Slow. ICDL 2022: 184-189
[c23]
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Torresen:
Quantifying the Quality Attenuation of WiFi. LCN 2022: 189-197
[c22]
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Overcoming Dynamicity with Plasticity: Neuromodulation for Lifelike Systems. LIFELIKE 2022
[c21]
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Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette:
Evolution of linkages for prototyping of linkage based robots. SSCI 2022: 1283-1290
[c20]
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Torresen:
Protocol Violations in the WiFi Distributed Coordination Function of Raspberry Pi 4. WONS 2022: 1-4
2021
[j6]
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Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette:
MAP-Elites Enables Powerful Stepping Stones and Diversity for Modular Robotics. Frontiers Robotics AI 8: 639173 (2021)
[c19]
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Evolving Neuromodulated Controllers in Variable Environments. ACSOS 2021: 164-169
[c18]
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Bjørn Ivar Teigen, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
Known Performance Issues Are Prevalent in Consumer WiFi Routers. CNSM 2021: 254-258
[c17]
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Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette:
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. EvoApplications 2021: 34-49
[i12]
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
A Model of WiFi Performance With Bounded Latency. CoRR abs/2101.12512 (2021)
[i11]
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Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette:
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. CoRR abs/2104.03062 (2021)
[i10]
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  - journals/corr/abs-2111-00488
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Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
Beyond Bufferbloat: End-to-End Congestion Control Cannot Avoid Latency Spikes. CoRR abs/2111.00488 (2021)
2020
[j5]
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Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020)
[j4]
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Kai Olav Ellefsen, Joost Huizinga, Jim Tørresen:
Guiding Neuroevolution with Structural Objectives. Evol. Comput. 28(1): 115-140 (2020)
[j3]
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. ACM Trans. Auton. Adapt. Syst. 15(4): 11:1-11:26 (2020)
[c16]
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Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen:
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks. ACSOS 2020: 129-138
[c15]
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Patrick Ribu Gorton, Kai Olav Ellefsen:
Evaluating Predictive Deep Learning Models. INTAP 2020: 139-150
[c14]
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  - conf/ssci/NordmoenVEG20
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Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette:
Quality and Diversity in Evolutionary Modular Robotics. SSCI 2020: 2109-2116
[i9]
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  - journals/corr/abs-2008-02116
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Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette:
Quality and Diversity in Evolutionary Modular Robotics. CoRR abs/2008.02116 (2020)
[i8]
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  - journals/corr/abs-2012-04375
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Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette:
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics. CoRR abs/2012.04375 (2020)

2010 – 2019

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2019
[c13]
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Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen, Kyrre Glette:
Evolved embodied phase coordination enables robust quadruped robot locomotion. GECCO 2019: 133-141
[c12]
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  - conf/icdl-epirob/TeigenET19
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Bjørn Ivar Teigen, Kai Olav Ellefsen, Jim Tørresen:
A Categorization of Reinforcement Learning Exploration Techniques which Facilitates Combination of Different Methods. ICDL-EPIROB 2019: 189-194
[c11]
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Kai Olav Ellefsen, Jim Torresen:
Self-adapting Goals Allow Transfer of Predictive Models to New Tasks. NAIS 2019: 28-39
[c10]
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Tønnes F. Nygaard, Jørgen Nordmoen, Kai Olav Ellefsen, Charles P. Martin, Jim Tørresen, Kyrre Glette:
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. NAIS 2019: 58-68
[i7]
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Kai Olav Ellefsen, Herman Augusto Lepikson, Jan C. Albiez:
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. CoRR abs/1901.07272 (2019)
[i6]
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Kai Olav Ellefsen, Charles Patrick Martin, Jim Tørresen:
How do Mixture Density RNNs Predict the Future? CoRR abs/1901.07859 (2019)
[i5]
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Kai Olav Ellefsen, Joost Huizinga, Jim Tørresen:
Guiding Neuroevolution with Structural Objectives. CoRR abs/1902.04346 (2019)
[i4]
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  - journals/corr/abs-1904-02435
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Kai Olav Ellefsen, Jim Tørresen:
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks. CoRR abs/1904.02435 (2019)
[i3]
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Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen, Kyrre Glette:
Evolved embodied phase coordination enables robust quadruped robot locomotion. CoRR abs/1904.03855 (2019)
2018
[c9]
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Jørgen Nordmoen, Kai Olav Ellefsen, Kyrre Glette:
Combining MAP-Elites and Incremental Evolution to Generate Gaits for a Mammalian Quadruped Robot. EvoApplications 2018: 719-733
[c8]
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Jørgen Nordmoen, Eivind Samuelsen, Kai Olav Ellefsen, Kyrre Glette:
Dynamic mutation in MAP-Elites for robotic repertoire generation. ALIFE 2018: 598-605
[i2]
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  - journals/corr/abs-1801-10492
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Charles P. Martin, Kai Olav Ellefsen, Jim Tørresen:
Deep Predictive Models in Interactive Music. CoRR abs/1801.10492 (2018)
[i1]
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  - journals/corr/abs-1803-03453
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Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018)
2017
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Kai Olav Ellefsen, Herman Augusto Lepikson, Jan C. Albiez:
Multiobjective coverage path planning: Enabling automated inspection of complex, real-world structures. Appl. Soft Comput. 61: 264-282 (2017)
[c7]
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  - conf/audio/MartinET17
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Charles P. Martin, Kai Olav Ellefsen, Jim Tørresen:
Deep Models for Ensemble Touch-Screen Improvisation. Audio Mostly Conference 2017: 4:1-4:4
[c6]
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Kai Olav Ellefsen, Jim Tørresen:
Evolving neural networks with multiple internal models. ECAL 2017: 138-145
2016
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Kai Olav Ellefsen, Herman Augusto Lepikson, Jan C. Albiez:
Planning Inspection Paths through Evolutionary Multi-objective Optimization. GECCO 2016: 893-900
2015
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Kai Olav Ellefsen, Jean-Baptiste Mouret, Jeff Clune:
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills. PLoS Comput. Biol. 11(4) (2015)
2013
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Kai Olav Ellefsen:
Different regulation mechanisms for evolved critical periods in learning. IEEE Congress on Evolutionary Computation 2013: 1193-1200
[c3]
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Kai Olav Ellefsen:
Balancing the Costs and Benefits of Learning Ability. ECAL 2013: 292-299
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Kai Olav Ellefsen:
Evolved Sensitive Periods in Learning. ECAL 2013: 409-416
2011
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Kai Olav Ellefsen:
Dynamic robot scheduling using a genetic algorithm. IEEE Congress on Evolutionary Computation 2011: 2025-2032

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