About
Rilind Sahitaj is a PhD student at the Technical University of Munich in the Department of Computer Science, supervised by Prof. Martin Bichler since July 2025. His research focuses on learning dynamics in multi-agent systems and robust optimization, with a particular emphasis on game theory and performative reinforcement learning.
- Key Research Areas:
- Multi-agent Reinforcement Learning
- Markov Potential Games
- Performative Effects in Learning Algorithms
- Robust Optimization
- Game Theory
Publications highlight his work on performatively stable equilibria and convergence of policy gradient algorithms in dynamic environments. His email contact is rilind.sahitaj@tum.de.
0Publications listed
