Sven Gronauer, M.Sc.

Technical Universtiy Munich
Chair of Data Processing
Arcisstr. 21
80333 Munich, Germany

Phone: +49 (0)89 289 23631
Fax: +49 (0)89 289 23600
Room: Z932

Research Interests

  • Reinforcement Learning with focus on real-world systems:
    • Transfer of control polices from simulation to real world (sim-to-real)
    • Safe exploraration and generation of data
    • Robustness of learned control strategies
  • Learning with mulitple agents (Multi-agent Reinforcement Learning)



  • Gronauer, Sven; Kissel, Matthias; Sacchetto, Luca; Korte, Mathias; Diepold, Klaus J.: Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 more… BibTeX Full text ( DOI )
  • Gronauer, Sven; Diepold, Klaus: Multi-agent deep reinforcement learning: a survey. Artificial Intelligence Review, 2021 more… BibTeX Full text ( DOI )
  • Gronauer, Sven; Gottwald, Martin; Diepold, Klaus: The Successful Ingredients of Policy Gradient Algorithms. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, 2021 more… BibTeX Full text ( DOI )

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