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

Publikasjoner

  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives. Evolutionary Computation.  ISSN 1063-6560.  Early Access . doi: 10.1162/evco_a_00250 Vis sammendrag
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion, In Manuel López-Ibáñez (ed.),  GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-6111-8.  Kapittel.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods, In  Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.  2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  Kapittel.
  • 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.  ISSN 0302-9743.  10784 LNCS, s 719- 733 . doi: 10.1007/978-3-319-77538-8_48 Fulltekst i vitenarkiv.
  • Nordmoen, Jørgen Halvorsen; Samuelsen, Eivind; Ellefsen, Kai Olav & Glette, Kyrre (2018). Dynamic mutation in MAP-Elites for robotic repertoire generation, In  The 2018 Conference on Artificial Life.  MIT Press.  ISBN 9780262355766.  Konferanseartikkel.  s 598 - 605 Fulltekst i vitenarkiv.
  • 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.  (61), s 264- 282 . doi: 10.1016/j.asoc.2017.07.051 Fulltekst i vitenarkiv. Vis sammendrag
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models, In Carole Knibbe; Guillaume Beslon; David Parsons; Dusan Misevic; Jonathan Rouzaud-Cornabas; Nicolas Bredèche; Salima Hassas; Olivier Simonin & Hedi Soula (ed.),  Proceedings of the European Conference on Artificial Life 2017.  MIT Press.  ISBN 978-0-262-34633-7.  Artikkel.  s 138 - 145
  • Martin, Charles Patrick; Ellefsen, Kai Olav & Tørresen, Jim (2017). Deep Models for Ensemble Touch-Screen Improvisation, In George Fazekas; Mathieu Barthet & Tony Stockman (ed.),  Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5373-1.  Conference paper. Fulltekst i vitenarkiv. Vis sammendrag
  • Ellefsen, Kai Olav; Lepikson, Herman & Albiez, Jan (2016). Planning Inspection Paths through Evolutionary Multi-objective Optimization, In  GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-4206-3.  Conference Paper.  s 893 - 900
  • 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
  • Ellefsen, Kai Olav (2013). Balancing the Costs and Benefits of Learning Ability, In Pietro Liò; Orazio Miglino; Giuseppe Nicosia; Stefano Nolfi & Mario Pavone (ed.),  Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems.  MIT Press.  ISBN 9780262317092.  Chapter in paper collection.  s 292 - 299
  • Ellefsen, Kai Olav (2013). Different regulation mechanisms for evolved critical periods in learning, In Carlos A. Coello Coello (ed.),  Proceedings of the IEEE Congress on Evolutionary Computation.  IEEE Communications Society.  ISBN 978-1-4799-0452-5.  pages 1193 - 1200.
  • Ellefsen, Kai Olav (2013). Evolved Sensitive Periods in Learning, In Pietro Liò; Orazio Miglino; Giuseppe Nicosia; Stefano Nolfi & Mario Pavone (ed.),  Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems.  MIT Press.  ISBN 9780262317092.  Paper in collection.  s 409 - 416
  • 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, In Sule Yildirim & Anders Kofod-Petersen (ed.),  Proceedings of the second Norwegian Artificial Intelligence Symposium : November 22, 2010 Høgskolen i Gjøvik.  Tapir Akademisk Forlag.  ISBN 978-82-519-2704-8.  Bio-Inspired Methods.  s 19 - 27

Se alle arbeider i Cristin

  • Ellefsen, Kai Olav & Rohlfing, Katharina J. (2019). Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  8 s.

Se alle arbeider i Cristin

  • Ellefsen, Kai Olav (2019). Hva Kan Roboter Lære av Biologisk Liv?.
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Evolutionary Robotics: Automatic design of robot bodies and control.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion.
  • 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.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods..
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Ellefsen, Kai Olav (2018). Evolusjonær Robotikk: Automatisk design og kontroll av roboter.
  • Ellefsen, Kai Olav & Tørresen, Jim (2018). Evolutionary Robotics: Automatic design of robot controllers and bodies.
  • Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick & Tørresen, Jim (2018). Prediction, Interaction, and User Behaviour. Vis sammendrag
  • 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.
  • Tørresen, Jim; Teigen, Bjørn Ivar & Ellefsen, Kai Olav (2018). An Active Learning Perspective on Exploration in Reinforcement Learning.
  • Ellefsen, Kai Olav (2017). Automating Robot Design with Evolutionary Algorithms. Vis sammendrag
  • Ellefsen, Kai Olav (2017). Evolutionary Robotics: Automatic design of robot bodies and control. Vis sammendrag
  • Ellefsen, Kai Olav (2017). Internal Models for Adaptation and Prediction.
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models.
  • Martin, Charles Patrick; Gonzalez Sanchez, Victor Evaristo; Kelkar, Tejaswinee; Zelechowska, Agata; Berggren, Stig Johan; Hopgood, Christina; Wallace, Benedikte; Brustad, Henrik; Utne-Reitan, Bjørnar; Ellefsen, Kai Olav; Nygaard, Tønnes Frostad; Søyseth, Vegard Dønnem; Câmara, Guilherme Schmidt & Diaz, Ximena Alarcón (2017). Ensemble Metatone - Improvised Touchscreen Performance.
  • Tørresen, Jim; Glette, Kyrre; Ellefsen, Kai Olav & Toft, Martin (2016, 25. november). UiO får åtte tildelingar for å samarbeida med oppinstitusjonar utanfor EU. [Internett].  http://www.uniforum.uio.no/nyheter/2016/11/uio-far-atte-tild. Vis sammendrag
  • Kofod-Petersen, Anders & Ellefsen, Kai Olav (ed.) (2012). Applied Artifical Intelligence - GEMINI centre for Applied Artificial Intelligence.
  • Ellefsen, Kai Olav (2010). A Genetic Algorithm for Flexible Robotic Planning.

Se alle arbeider i Cristin

Publisert 22. mars 2017 14:15 - Sist endret 8. mai 2019 11:57