Kai Olav Ellefsen

Bilde av Kai Olav Ellefsen
English version of this page
Brukernavn
Besøksadresse Gaustadalléen 23 B Ole-Johan Dahls hus 0373 Oslo
Postadresse Postboks 1080 Blindern 0316 Oslo
Andre tilknytninger Institutt for pedagogikk (Student)

For mer informasjon, se koellefsen.com

Emneord: Kunstig Intelligens, Dyp Læring, Evolusjonære Algoritmer, Forsterkningslæring, Kunstig Liv

Publikasjoner

  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2021). Evolving Neuromodulated Controllers in Variable Environments, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems . IEEE. ISSN 978-1-6654-1261-2. s. 164–169. doi: 10.1109/ACSOS52086.2021.00037. Fulltekst i vitenarkiv
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav; Skeie, Tor & Tørresen, Jim (2021). Known Performance Issues Are Prevalent in Consumer WiFi Routers, 17th International Conference on Network and Service Management, CNSM 2021. IEEE. ISSN 978-3-903176-36-2. s. 254–258. doi: 10.23919/CNSM52442.2021.9615514.
  • Norstein, Emma Stensby; Ellefsen, Kai Olav & Glette, Kyrre (2021). Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. I Castillo, Pedro A. & Jiménez Laredo, Juan Luiz (Red.), Applications of Evolutionary Computation. Springer. ISSN 978-3-030-72699-7. doi: https%3A/doi.org/10.1007/978-3-030-72699-7_3. Fulltekst i vitenarkiv
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2021). Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. ACM Transactions on Autonomous and Adaptive Systems. ISSN 1556-4665. 15(4). doi: 10.1145/3487918. Fulltekst i vitenarkiv
  • Gorton, Patrick & Ellefsen, Kai Olav (2021). Evaluating Predictive Deep Learning Models. I Yildirim Yayilgan, Sule; Bajwa, Imran Sarwar & Sanfilippo, Filippo (Red.), Proceeding of the 3rd International Conference on Intelligent Technologies and Applications (INTAP). Springer. ISSN 978-3-030-71711-7. s. 139–150. doi: doi.org/10.1007/978-3-030-71711-7_12. Fulltekst i vitenarkiv
  • Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav & Glette, Kyrre (2021). MAP-Elites Enables Powerful Stepping Stones and Diversity for Modular Robotics. Frontiers in Robotics and AI. ISSN 2296-9144. 8. doi: 10.3389/frobt.2021.639173. Fulltekst i vitenarkiv
  • Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav & Glette, Kyrre (2020). Quality and Diversity in Evolutionary Modular Robotics, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. ISSN 978-1-7281-2547-3. s. 2109–2116. doi: 10.1109/SSCI47803.2020.9308511.
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2020). Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE. ISSN 978-1-7281-7278-1. s. 129–138. doi: 10.1109/ACSOS49614.2020.00034.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing, Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. ISSN 978-3-030-35664-4. s. 58–68. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_6.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-adapting Goals Allow Transfer of Predictive Models to New Tasks, Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. ISSN 978-3-030-35664-4. s. 28–39. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_3.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods, Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE. ISSN 978-1-5386-8129-9. s. 189–194. doi: 10.1109/DEVLRN.2019.8850685.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion. I López-Ibáñez, Manuel (Red.), GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM). ISSN 978-1-4503-6111-8. s. 133–141. doi: 10.1145/3321707.3321762. Fulltekst i vitenarkiv
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives. Evolutionary Computation. ISSN 1063-6560. 28(1), s. 115–140. doi: 10.1162/evco_a_00250. Fulltekst i vitenarkiv
  • Nordmoen, Jørgen Halvorsen; Samuelsen, Eivind; Ellefsen, Kai Olav & Glette, Kyrre (2018). Dynamic mutation in MAP-Elites for robotic repertoire generation, The 2018 Conference on Artificial Life. MIT Press. ISSN 9780262355766. s. 598–605. doi: https%3A/doi.org/10.1162/isal_a_00110. Fulltekst i vitenarkiv
  • Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav & Glette, Kyrre (2018). Combining MAP-Elites and Incremental Evolution to Generate Gaits for a Mammalian Quadruped Robot. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 10784 LNCS, s. 719–733. doi: 10.1007/978-3-319-77538-8_48. Fulltekst i vitenarkiv
  • Martin, Charles Patrick; Ellefsen, Kai Olav & Tørresen, Jim (2017). Deep Models for Ensemble Touch-Screen Improvisation. I Fazekas, George; Barthet, Mathieu & Stockman, Tony (Red.), Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences. Association for Computing Machinery (ACM). ISSN 978-1-4503-5373-1. doi: 10.1145/3123514.3123556. Fulltekst i vitenarkiv
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models. I Knibbe, Carole; Beslon, Guillaume; Parsons, David; Misevic, Dusan; Rouzaud-Cornabas, Jonathan; Bredèche, Nicolas; Hassas, Salima; Simonin, Olivier & Soula, Hedi (Red.), Proceedings of the European Conference on Artificial Life 2017. MIT Press. ISSN 978-0-262-34633-7. s. 138–145. doi: 10.7551/ecal_a_025.
  • Ellefsen, Kai Olav; Lepikson, Herman & Albiez, Jan (2017). Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. Applied Soft Computing. ISSN 1568-4946. s. 264–282. doi: 10.1016/j.asoc.2017.07.051. Fulltekst i vitenarkiv
  • Ellefsen, Kai Olav; Lepikson, Herman & Albiez, Jan (2016). Planning Inspection Paths through Evolutionary Multi-objective Optimization, GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016. Association for Computing Machinery (ACM). ISSN 978-1-4503-4206-3. s. 893–900. doi: 10.1145/2908812.2908883.
  • Ellefsen, Kai Olav; Mouret, Jean-Baptiste & Clune, Jeff (2015). Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills. PLoS Computational Biology. ISSN 1553-734X. 11(4). doi: 10.1371/journal.pcbi.1004128. Fulltekst i vitenarkiv
  • Ellefsen, Kai Olav (2013). Different regulation mechanisms for evolved critical periods in learning. I Coello Coello, Carlos A. (Red.), Proceedings of the IEEE Congress on Evolutionary Computation. IEEE Sarnoff Symposium. ISSN 978-1-4799-0452-5. doi: 10.1109/cec.2013.6557701.
  • Ellefsen, Kai Olav (2013). Evolved Sensitive Periods in Learning. I Liò, Pietro; Miglino, Orazio; Nicosia, Giuseppe; Nolfi, Stefano & Pavone, Mario (Red.), Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems. MIT Press. ISSN 9780262317092. s. 409–416. doi: 10.7551/978-0-262-31709-2-ch059.
  • Ellefsen, Kai Olav (2013). Balancing the Costs and Benefits of Learning Ability. I Liò, Pietro; Miglino, Orazio; Nicosia, Giuseppe; Nolfi, Stefano & Pavone, Mario (Red.), Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems. MIT Press. ISSN 9780262317092. s. 292–299. doi: 10.7551/978-0-262-31709-2-ch044.
  • Ellefsen, Kai Olav (2011). Dynamic Robot Scheduling Using a Genetic Algorithm. IEEE Transactions on Evolutionary Computation. ISSN 1089-778X. s. 2025–2032. doi: 10.1109/CEC.2011.5949864.
  • Ellefsen, Kai Olav (2010). A Genetic Algorithm for Flexible Robotic Planning. I Yildirim, Sule & Kofod-Petersen, Anders (Red.), Proceedings of the second Norwegian Artificial Intelligence Symposium : November 22, 2010 Høgskolen i Gjøvik. Tapir Akademisk Forlag. ISSN 978-82-519-2704-8. s. 19–27.

Se alle arbeider i Cristin

Se alle arbeider i Cristin

  • Lehman, Joel; Clune, Jeff; Misevic, Dusan; Adami, Christopher; Altenberg, Lee & Beaulieu, Julie [Vis alle 52 forfattere av denne artikkelen] (2020). The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities. Artificial Life. ISSN 1064-5462. 26(2). doi: 10.1162/artl_a_00319.
  • Ellefsen, Kai Olav (2020). Hva kan intelligente maskiner lære av biologisk liv? Biolog. ISSN 0801-0722. s. 16–19.
  • Ellefsen, Kai Olav & Time, Jon Kåre (2020). Han lærer roboter hvordan verden fungerer. [Avis]. https://morgenbladet.no/aktuelt/2020/02/han-laerer-roboter-h.
  • Ellefsen, Kai Olav; Nygaard, Tønnes Frostad & Kjørstad, Elise (2020). Her er den første roboten som er laget av levende celler. [Internett]. forskning.no.
  • Ellefsen, Kai Olav (2019). NAIS - Norwegian Artificial Intelligence Society.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • Ellefsen, Kai Olav (2019). Hva Kan Roboter Lære av Biologisk Liv?
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Evolutionary Robotics: Automatic design of robot bodies and control.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion .
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks.
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives.
  • Ellefsen, Kai Olav & Tørresen, Jim (2018). Evolutionary Robotics: Automatic design of robot controllers and bodies.
  • Ellefsen, Kai Olav (2018). Evolusjonær Robotikk: Automatisk design og kontroll av roboter.
  • Søyseth, Vegard Dønnem; Nygaard, Tønnes Frostad; Martin, Charles Patrick; Uddin, Md Zia & Ellefsen, Kai Olav (2018). ROBIN-Stand ved Cutting Edge 2018.
  • Tørresen, Jim; Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav & Martin, Charles Patrick (2018). Equipping Systems with Forecasting Capabilities .
  • Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick & Tørresen, Jim (2018). Prediction, Interaction, and User Behaviour.
  • Martin, Charles Patrick; Gonzalez Sanchez, Victor Evaristo; Kelkar, Tejaswinee; Zelechowska, Agata; Berggren, Stig Johan & Hopgood, Christina [Vis alle 13 forfattere av denne artikkelen] (2017). Ensemble Metatone - Improvised Touchscreen Performance.
  • Ellefsen, Kai Olav (2017). Internal Models for Adaptation and Prediction.
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models.
  • Ellefsen, Kai Olav (2017). Automating Robot Design with Evolutionary Algorithms.
  • Ellefsen, Kai Olav (2017). Evolutionary Robotics: Automatic design of robot bodies and control.
  • Tørresen, Jim; Glette, Kyrre; Ellefsen, Kai Olav & Toft, Martin (2016). UiO får åtte tildelingar for å samarbeida med oppinstitusjonar utanfor EU. [Internett]. http://www.uniforum.uio.no/nyheter/2016/11/uio-far-atte-tild.
  • Kofod-Petersen, Anders & Ellefsen, Kai Olav (2012). Applied Artifical Intelligence - GEMINI centre for Applied Artificial Intelligence.
  • Ellefsen, Kai Olav (2010). A Genetic Algorithm for Flexible Robotic Planning.
  • Nordmoen, Jørgen; Glette, Kyrre & Ellefsen, Kai Olav (2021). Enhancing MAP-Elites to overcome challenges in Evolutionary Robotics. University of Oslo. ISSN 1501-7710.
  • Thoresen, Sindre & Ellefsen, Kai Olav (2021). Solving Long Term Planning Problems with Direct Future Prediction. Universitetet i Oslo.
  • Ellefsen, Kai Olav & Bjørsvik, Vegard (2021). Solving Sparse Reward Environments Using Go-Explore with Learned Cell Representation. Universitetet i Oslo.
  • Sørensen, Scott Andreas Fiskerstrand & Ellefsen, Kai Olav (2020). Comparing Model-Free and Model-Based Reinforcement Learning for Collision Avoidance. Universitetet i Oslo.
  • Gorton, Patrick & Ellefsen, Kai Olav (2020). Backpropagating to the Future: Evaluating Predictive Deep Learning Models. Universitetet i Oslo.
  • Tørresen, Jim; Teigen, Bjørn Ivar & Ellefsen, Kai Olav (2018). An Active Learning Perspective on Exploration in Reinforcement Learning. Universitetet i Oslo.

Se alle arbeider i Cristin

Publisert 22. mars 2017 14:15 - Sist endret 27. apr. 2022 07:40

Prosjekter