Kai Olav Ellefsen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 46

Top Topics

Dynamic Environments

Evolutionary Computation

Top Venues

EvoApplications

Publications

Didrik Spanne Reilstad, Kai Olav Ellefsen
Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution. EvoApplications@EvoStar (2024)
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)
Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette
Evolution of linkages for prototyping of linkage based robots. CoRR (2023)
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) (2023)
Shin Watanabe, Geir Horn, Jim Tørresen, Kai Olav Ellefsen
Offline Skill Generalization via Task and Motion Planning. CoRR (2023)
Emma Stensby Norstein, Kai Olav Ellefsen, Kyrre Glette
Open-ended search for environments and adapted agents using MAP-Elites. CoRR (2023)
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)
Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Torresen
Quantifying the Quality Attenuation of WiFi. LCN (2022)
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)
Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette
Evolution of linkages for prototyping of linkage based robots. SSCI (2022)
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)
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)
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) (2022)
Emma Stensby Norstein, Kai Olav Ellefsen, Kyrre Glette
Open-Ended Search for Environments and Adapted Agents Using MAP-Elites. EvoApplications (2022)
Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen
Evolving Neuromodulated Controllers in Variable Environments. ACSOS (2021)
Bjørn Ivar Teigen, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen
Known Performance Issues Are Prevalent in Consumer WiFi Routers. CNSM (2021)
Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen
Beyond Bufferbloat: End-to-End Congestion Control Cannot Avoid Latency Spikes. CoRR (2021)
Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen
A Model of WiFi Performance With Bounded Latency. CoRR (2021)
Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. EvoApplications (2021)
Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette
MAP-Elites Enables Powerful Stepping Stones and Diversity for Modular Robotics. Frontiers Robotics AI 8 (2021)
Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. CoRR (2021)
Patrick Ribu Gorton, Kai Olav Ellefsen
Evaluating Predictive Deep Learning Models. INTAP (2020)
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) (2020)
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)
Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics. CoRR (2020)
Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette
Quality and Diversity in Evolutionary Modular Robotics. CoRR (2020)
Kai Olav Ellefsen, Joost Huizinga, Jim Tørresen
Guiding Neuroevolution with Structural Objectives. Evol. Comput. 28 (1) (2020)
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) (2020)
Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette
Quality and Diversity in Evolutionary Modular Robotics. SSCI (2020)
Kai Olav Ellefsen, Jim Torresen
Self-adapting Goals Allow Transfer of Predictive Models to New Tasks. NAIS (2019)
Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen, Kyrre Glette
Evolved embodied phase coordination enables robust quadruped robot locomotion. CoRR (2019)
Kai Olav Ellefsen, Herman Augusto Lepikson, Jan C. Albiez
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. CoRR (2019)
Kai Olav Ellefsen, Jim Tørresen
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks. CoRR (2019)
Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen, Kyrre Glette
Evolved embodied phase coordination enables robust quadruped robot locomotion. GECCO (2019)
Kai Olav Ellefsen, Joost Huizinga, Jim Tørresen
Guiding Neuroevolution with Structural Objectives. CoRR (2019)
Bjørn Ivar Teigen, Kai Olav Ellefsen, Jim Tørresen
A Categorization of Reinforcement Learning Exploration Techniques which Facilitates Combination of Different Methods. ICDL-EPIROB (2019)
Kai Olav Ellefsen, Charles Patrick Martin, Jim Tørresen
How do Mixture Density RNNs Predict the Future? CoRR (2019)
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)
Charles P. Martin, Kai Olav Ellefsen, Jim Tørresen
Deep Predictive Models in Interactive Music. CoRR (2018)
Jørgen Nordmoen, Eivind Samuelsen, Kai Olav Ellefsen, Kyrre Glette
Dynamic mutation in MAP-Elites for robotic repertoire generation. ALIFE (2018)
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 (2018)
Jørgen Nordmoen, Kai Olav Ellefsen, Kyrre Glette
Combining MAP-Elites and Incremental Evolution to Generate Gaits for a Mammalian Quadruped Robot. EvoApplications (2018)
Kai Olav Ellefsen, Jim Tørresen
Evolving neural networks with multiple internal models. ECAL (2017)
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 (2017)
Charles P. Martin, Kai Olav Ellefsen, Jim Tørresen
Deep Models for Ensemble Touch-Screen Improvisation. Audio Mostly Conference (2017)
Kai Olav Ellefsen, Herman Augusto Lepikson, Jan C. Albiez
Planning Inspection Paths through Evolutionary Multi-objective Optimization. GECCO (2016)
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)
Kai Olav Ellefsen
Different regulation mechanisms for evolved critical periods in learning. IEEE Congress on Evolutionary Computation (2013)
Kai Olav Ellefsen
Balancing the Costs and Benefits of Learning Ability. ECAL (2013)
Kai Olav Ellefsen
Evolved Sensitive Periods in Learning. ECAL (2013)
Kai Olav Ellefsen
Dynamic robot scheduling using a genetic algorithm. IEEE Congress on Evolutionary Computation (2011)