Rilind Sahitaj

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.