Dr. Michael Oesterle

Post-doctoral researcher

University of Mannheim
Institute for Enterprise Systems
L 15, 1–6
L15, 1–6 – Room 417
68161 Mannheim

E-mail: michael.oesterleuni-mannheim.de

Research Interests

Mechanistic Interpretability of Machine Learning models, focusing on Transformer architectures
Governance and Coordination of Multi-Agent-Systems, using Game Theory, Mechanism Design, and Reinforcement Learning

Short CV

Since 2024	Postdoctoral Researcher at the Institute for Enterprise Systems
2022	Fulbright Visiting Researcher at Texas A&M University (TAMU)
2018–2024	Research Assistant and PhD Student at the Institute for Enterprise Systems
2014–2017	Consultant at TWS Partners AG
2012–2014	MSc Mathematics in Operations Research at Technische Universität München (TUM)
2009–2012	BSc Mathematics at Technische Universität München (TUM)

Publications

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Currently there are no publications available for this list.

Supervised Theses

Governance for Sparse Multi-Agent Systems (Master, 2023)
Deep Reinforcement Learning in Obstacle Avoidance to Investigate Interval Restrictions on Action Spaces (Master, 2022/23)
Application and Evaluation of Multi-Agent Reinforcement Learning Approaches for the Coordinated Routing of Drones (Master, 2021/22)
Data Modeling And Processing for AI-based Governance of Competitive Multi-Agent Systems (Master, 2020/21)
Building an AI Agent for Strategic Interaction (Bachelor, 2019)
Coverage-based Testing Improvement in the Domain of automated Driving – Utilizing unsupervised Selection of Traces in Field Data for Test Scenario Reconstruction (Master, 2018/19)