Kyrill Schmid, B.Sc.

Kyrill Schmid

Lehrstuhl für Mobile und Verteilte Systeme

Ludwig-Maximilians-Universität München, Institut für Informatik

Oettingenstraße 67
80538 München

Raum E004

Telefon: +49 89 / 2180-9259

Fax: +49 89 / 2180-9148

Mail: kyrill.schmid@ifi.lmu.de

Sprechstunden

Montags 10 – 12 Uhr
Donnerstags 15 – 17 Uhr

Studentenbetreuung

Als Studentenbetreuer von unserem Lehrstuhl biete ich neben den persönlichen Sprechzeiten (siehe oben) im Laufe des Semesters verschiedene Zusatzangebote an.

Forschungsgebiet

  • Artificial Intelligence
  • Automated Planning
  • Multiagent Systems
  • Risk, Safety & Uncertainty

Abschlussarbeiten

Bei generellem Interesse an einer Abschlussarbeit an unserem Lehrstuhl oder auch in meinen Themengebieten, gerne einfach eine E-Mail schicken und zu einem Gespräch vorbeikommen. Eigene Ideen für Abschlussarbeiten sind auch jederzeit willkommen!

Publikationen

2018

  • T. Phan, L. Belzner, T. Gabor, and K. Schmid, "Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation," in 17th Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), 2018, pp. 730-738.
    [BibTeX]
    @InProceedings{phan2018evade,
    author = {Phan, Thomy and Belzner, Lenz and Gabor, Thomas and Schmid, Kyrill},
    title = {Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation},
    booktitle = {17th Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)},
    year = {2018},
    pages = {730--738},
    organization = {International Foundation for Autonomous Agents and Multiagent Systems},
    owner = {tphan},
    }
  • T. Gabor, M. Kiermeier, A. Sedlmeier, B. Kempter, C. Klein, H. Sauer, R. Schmid, and J. Wieghardt, "Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm," in International Symposium on Leveraging Applications of Formal Methods (ISoLA), 2018.
    [BibTeX]
    @inproceedings{gabor2018adapting,
    title={Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm},
    author={Thomas Gabor and Marie Kiermeier and Andreas Sedlmeier and Bernhard Kempter and Cornel Klein and Horst Sauer and Reiner Schmid and Jan Wieghardt},
    booktitle={International Symposium on Leveraging Applications of Formal Methods (ISoLA)},
    year={2018}
    }
  • L. Belzner, K. Schmid, T. Phan, T. Gabor, and M. Wirsing, "The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents," in International Symposium on Leveraging Applications of Formal Methods (ISoLA), 2018.
    [BibTeX]
    @inproceedings{belzner2018sharers,
    title={The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents},
    author={Lenz Belzner and Kyrill Schmid and Thomy Phan and Thomas Gabor and Martin Wirsing},
    booktitle={International Symposium on Leveraging Applications of Formal Methods (ISoLA)},
    year={2018}
    }
  • T. Gabor, L. Belzner, T. Phan, and K. Schmid, "Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms," in 15th IEEE International Conference on Autonomic Computing (ICAC), 2018.
    [BibTeX]
    @inproceedings{gabor2018preparing,
    author = {Thomas Gabor and Lenz Belzner and Thomy Phan and Kyrill Schmid},
    title = {Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms},
    booktitle = {15th IEEE International Conference on Autonomic Computing (ICAC)},
    year = {2018}
    }
  • K. Schmid, L. Belzner, M. Kiermeier, A. Neitz, T. Phan, T. Gabor, and C. Linnhoff, "Risk-Sensitivity in Simulation Based Online Planning," in Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), 2018, pp. 229-240.
    [BibTeX]
    @InProceedings{schmid2018risk,
    author = {Schmid, Kyrill and Belzner, Lenz and Kiermeier, Marie and Neitz, Alexander and Phan, Thomy and Gabor, Thomas and Linnhoff, Claudia},
    title = {Risk-Sensitivity in Simulation Based Online Planning},
    booktitle = {Joint German/Austrian Conference on Artificial Intelligence (K{\"u}nstliche Intelligenz)},
    year = {2018},
    pages = {229--240},
    organization = {Springer},
    }
  • K. Schmid, L. Belzner, T. Gabor, and T. Phan, "Action Markets in Deep Multi-Agent Reinforcement Learning," in Artificial Neural Networks and Machine Learning (ICANN 2018), Cham, 2018, pp. 240-249.
    [BibTeX]
    @InProceedings{10.1007/978-3-030-01421-6_24,
    author = {Schmid, Kyrill and Belzner, Lenz and Gabor, Thomas and Phan, Thomy},
    title = {Action Markets in Deep Multi-Agent Reinforcement Learning},
    booktitle = {Artificial Neural Networks and Machine Learning (ICANN 2018)},
    year = {2018},
    editor = {K{\r{u}}rkov{\'a}, V{\v{e}}ra and Manolopoulos, Yannis and Hammer, Barbara and Iliadis, Lazaros and Maglogiannis, Ilias},
    pages = {240--249},
    address = {Cham},
    publisher = {Springer International Publishing},
    }

2017

  • A. Ebert, K. Schmid, C. Marouane, and C. Linnhoff-Popien, "Automated Recognition and Difficulty Assessment of Boulder Routes," in 4th EAI Conference on IoT Technologies for Healthcare (HealthyIoT 2017), 2017.
    [BibTeX]
    @InProceedings{ebert2017boulder,
    author = {Ebert, Andre and Schmid, Kyrill and Marouane, Chadly and Linnhoff-Popien, Claudia},
    title = {{Automated Recognition and Difficulty Assessment of Boulder Routes}},
    booktitle = {4th EAI Conference on IoT Technologies for Healthcare (HealthyIoT 2017)},
    year = {2017},
    organization = {Springer},
    }