Fabian Raoul Pieroth
| E-Mail: fabian.pieroth at tum.de | |
| Phone: +49 (0) 89 289 - 17504 | |
| Office: Room 01.10.057 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.
Education:
- 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
Publications
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
- Program Committee Member, Uncertainty in Artificial Intelligence (UAI), 2021