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Michael Oesterle

Michael Oesterle

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

Research Interests

  • Governance and Coordination of Multi-Agents Systems
  • Multi-Agent Reinforcement Learning
  • Game Theory and Mechanism Design

Short CV

2022 Visiting Researcher at Texas A&M University (TAMU)
Since 2018 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)


Supervised Theses

  • 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)
  • Deep Reinforcement Learning in Obstacle Avoidance to Investigate Interval Restrictions on Action Spaces (Masterarbeit, 2022/23)
  • Governance for Sparse Multi-Agent Systems (Masterarbeit, 2023)