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Nicolai Dorka

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany
Office:   080-01-023

Phone:   +49 761 203-8010
Fax:   +49 761 203-8007

About me

  • 10/2012 - 11/2015: Bachelor of Science in Mathematics, University of Göttingen
  • 10/2012 - 11/2015: Bachelor of Arts Philosophy/Mathematics, University of Göttingen
  • 10/2015 - 11/2017: Master of Science Mathematics, University of Göttingen
  • 08/2018 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as PhD student

Research Interests

  • (Deep) Reinforcement Learning
  • Multi-Task and Transfer Learning
  • Learning from Demonstrations
  • Navigation


Journal and Conference Papers

  • Nicolai Dorka, Tim Welschehold, Wolfram Burgard
    NEW: Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
    International Conference on Learning Representations (ICLR), 2023.
    Also at Workshop on Decision Awareness in Reinforcement Learning, International Conference on Machine Learning (ICML), 2022

    Download BibTeX
  • Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
    Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
    IEEE Robotics and Automation Letters (RAL), 2023.
    Also at Workshop on Deep Reinforcement Learning, Conference on Neural Information Processing Systems (NeurIPS), 2021

    Download BibTeX
  • Nicolai Dorka*, Johannes Meyer*, Wolfram Burgard
    Modality-Buffet for Real-Time Object Detection
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020
    Download BibTeX

Workshop Papers

  • Jingwei Zhang*, Niklas Wetzel*, Nicolai Dorka*, Joschka Boedecker, Wolfram Burgard
    Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
    Workshop on Exploration in Reinforcement Learning (Spotlight Talk), Internatioal Conference on Machine Learning (ICML), Long Beach, USA, 2019
    Download BibTeX Talk (starts 55:20)


  • Artemij Amiranashvili*, Nicolai Dorka*, Wolfram Burgard, Vladlen Koltun, Thomas Brox
    Scaling Imitation Learning in Minecraft
    ArXiv 2020
    Download BibTeX
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