Fabian Raoul Pieroth

E-Mail: fabian.pieroth at tum.de 
Phone: +49 (0) 89 289 - 17532
Office: Room 01.10.054
Boltzmannstr. 3
85748 Munich, Germany
Hours: by arrangement

Short Bio

I am a Ph.D. student supervised by Prof. Bichler. My research focus lies in finding descriptive properties of Multi-Agent Systems, e.g., equilibrium-computation, or quantification of cooperation, through the use of multi-agent reinforcement learning.


  • 10/2017 - 01/2021:        Master in Mathematics (M. Sc.), Technical University Munich
  • 10/2013 - 10/2016:        Bachelor in Mathematics (B. Sc.), Ludwig-Maximilians-University Munich

Working Experience:

  • 08/2018 - 05/2021:        Data Science Intern, MaibornWolff
  • 09/2017 - 08/2018:        Data Science Intern, Horvath&Partners
  • 10/2016 - 01/2017:        Intern in Credit Risk and Methodology, Bayern LB


Peer-Reviewed Workshop Papers

Detecting Influence Structures in Multi-Agent Reinforcement Learning Systems

Fabian R. Pieroth, Katherine Fitch, Lenz Belzner
Accepted to the 2022 AAAI Workshop on Reinforcement Learning in Games (AAAI-RLG-22)

On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives

Xiyue Sun, Fabian R. Pieroth, Kyrill Schmid, Martin Wirsing, Lenz Belzner
Accepted to the 2022 DISCOLI Workshop on Distributed Collective Intelligence (DISCOLI 2022)

Academic Activities


For available theses topics, check out this page.


  • Operations Research (SS21)
  • Seminar ITUB - "IT and Management Consulting" (WS 21/22)
  • Auction Theory and Market Design (WS21/22)