
Julius Durmann
E-Mail: julius.durmann(at)tum.de
Phone: +49 (0) 89 289 - 17532
Office: Room 01.10.054
Boltzmannstr. 3
85748 Munich, Germany
Hours: by arrangement
Thesis topics available
I currently have two master's thesis topics available that focus on learning equilibria in games.
Both topics are challenging, so I am looking for highly motivated students with above-average skills or grades.
If you are a mathematically inclined student with coding skills and are interested/knowledgeable in game theory, please reach out to me by email.
Work at the chair
Education
In WS 2023/24 I am in charge of the tutorials in Business Analytics & Machine Learning. If you have general questions to contents of the course or course organization, please consider using the forum on our moodle couse page (only available for enrolled students).
Research
I am focusing on collusion of algorithms in Bertrand settings. For an introduction, you might want to consider the papers by Calvano et al. (2020) and Hansen et al. (2021).
Short Bio
I am a Ph.D. student at Prof. Bichler's research group at the chair of Decision Sciences & Systems since July 2023.
Education
- 10/2020 - 05/2023: M.Sc. Robotics, Cognition, Intelligence
- 10/2017 - 11/2020: B.Sc. Maschinenwesen
- 09/2021 - 02/2022: Semester Abroad, ETH Zürich
Work experience
- 11/2020 - 03/2021: Student research assistant, Chair of Automatic Control
- 06/2020 - 10/2020: Working student, Yaskawa Europe GmbH
- 11/2019 - 03/2020: Student tutor
- 08/2017 - 09/2017: Internship, BMW Group
Publications
Preprints
Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion
Martin Bichler, Julius Durmann, Matthias Oberlechner, ArXiv, 2024
https://doi.org/10.48550/arXiv.2412.15707
Agentic Markets: Game Dynamics and Equilibrium in Markets with Learning Agents
Martin Bichler, Julius Durmann, Matthias Oberlechner, ArXiv, 2025
https://doi.org/10.48550/arXiv.2506.18571
Algorithmic Pricing and Algorithmic Collusion
Martin Bichler, Julius Durmann, Matthias Oberlechner, ArXiv, 2024
https://doi.org/10.48550/arXiv.2504.16592
Journal articles
MORpH: Model reduction of linear port-Hamiltonian systems in MATLAB
Moser, Tim, Durmann, Julius, Bonauer, Maximilian and Lohmann, Boris., at - Automatisierungstechnik, vol. 71, no. 6, 2023, pp. 476-489
https://doi.org/10.1515/auto-2022-0119
Conference proceedings
Surrogate-Based ℋ2 Model Reduction of Port-Hamiltonian Systems
T. Moser, J. Durmann and B. Lohmann, 2021 European Control Conference (ECC), Delft, Netherlands, 2021, pp. 2058-2065
https://doi.org/10.23919/ECC54610.2021.9655109
Talks at conferences and workshops
Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion
GOR International Conference on Operations Research, Munich, September 2024
Marketplace Innovation Workshop, Online, May 2025
GAIMSS, Toulouse, June 2025
Teaching
Courses
- "Business Analytics and Machine Learning" (IN2028)
WS 2023/24, WS 2024/25 - Seminar "IT Consulting"
WS 2023/24 - Seminar "Learning in Games"
SS 2024
Completed Student Projects
- Learning to Optimize with Reinforcement Learning Techniques
Haoyu Li, 2025 (Bachelor's thesis) - An Empirical Comparison of Learning-to-Optimize Algorithms with Iterative Approaches
Jonas Seidou, 2024 (Bachelor's thesis) - A Comparative Study of Python Frameworks for Deep Learning,
Gamila Dorgham, 2024 (Bachelor's thesis) - An Empirical Comparison of Learning-to-Optimize Algorithms with End-to-End Approaches,
Alp Karaagac, 2024 (Bachelor's thesis) - Intraday Electricity Price Forecasting using Order Books,
Paul Reisenberg, 2024 (Bachelor's thesis) - Gaussian Process Bandits in Continuous Competitive Multiplayer Games,
Aditi Shelke, 2024 (Bachelor's thesis) - An empirical analysis of algorithmic collusion in betrandt oligopolis with RL algorithms,
Rafid Abyaad, 2024 (Master's thesis) - Creation and Evaluation of Structured Data Question-Answering Chatbot for Industrial Usage,
Xufan Lu, 2024 (Bachelor's thesis, company)