Markus Merklinger

Conference Papers

• Oier Mees*, Markus Merklinger*, Gabriel Kalweit, Wolfram Burgard
  Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
  IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020
  Finalist for the Best Paper Award in Cognitive Robotics
  Download BibTeX Project Page Dataset Video Talk

  @INPROCEEDINGS{mees20icra_asn,
  author = {Oier Mees and Markus Merklinger and Gabriel Kalweit and Wolfram Burgard},
  title = {Adversarial Skill Networks: Unsupervised Robot Skill Learning from Videos},
  booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation  (ICRA)},
  year = 2020,
  address = {Paris, France}
  }

Workshop Papers

• Oier Mees*, Markus Merklinger*, Gabriel Kalweit, Wolfram Burgard
  Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
  Workshop on Learning from Unlabeled Videos at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020
  Download BibTeX

  @INPROCEEDINGS{mees20icra_asn,
  author = {Oier Mees and Markus Merklinger and Gabriel Kalweit and Wolfram Burgard},
  title = {Adversarial Skill Networks: Unsupervised Robot Skill Learning from Videos},
  booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation  (ICRA)},
  year = 2020,
  address = {Paris, France}
  }

• Markus Merklinger, Oier Mees, Gabriel Kalweit, Wolfram Burgard
  Adversarial Skill Networks: Unsupervised Skill Learning from Video
  Workshop on Combining Learning and Reasoning – Towards Human-Level Robot Intelligence at Robotics: Science and Systems (RSS), Freiburg, Germany, 2019
  Download BibTeX

  @INPROCEEDINGS{mees19rss,
    author = {Markus Merklinger and Oier Mees and Gabriel Kalweit and Wolfram Burgard},
    title = {Adversarial Skill Networks: Unsupervised Skill Learning from Video},
    booktitle = {Workshop on Combining Learning and Reasoning – Towards Human-Level Robot Intelligence at Robotics: Science and Systems (RSS)},
    year = 2019,
    address = {Freiburg, Germany},
  }