Matthias Oberlechner

E-Mail: matthias.oberlechner@tum.de
Phone: +49 (0) 89 289 - 17532
Office: Room 01.10.054
Boltzmannstr. 3
85748 Munich, Germany

 Hours: by arrangement


Short Bio

I'm a Ph.D. student at the DSS chair supervised by Prof. Bichler. My research focuses on the computation of equilibrium strategies in incomplete information games using methods from convex optimization.
 

since 11/2020 

Associated Member of the DFG Research Training Group AdONE (TUM)  

since 09/2020 

Research Assistant, Chair of Decision Sciences & Systems, TUM (Munich, Germany)

04/2017 - 06/2020

M.Sc. Mathematics, TUM (Munich, Germany)

08/2018 - 01/2019   

Erasmus Student at Uppsala University (Uppsala, Sweden)

10/2013 - 01/2017

B.Sc. Mathematics, TUM (Munich, Germany)

 


Publications

Journal Publications

  • Learning equilibrium in bilateral bargaining games.
    Martin Bichler, Nils Kohring, Matthias Oberlechner, Fabian R. Pieroth.
    In European Journal of Operational Research, 2022 [link]

Conference Proceedings

  • Computing Bayes Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging.
    Martin Bichler, Maximilian Fichtl, Matthias Oberlechner
    Extended Abstract in 24th ACM Conference on Economics and Computation (ACM-EC), 2023. Forthcoming. [arXiv]

Peer-Reviewed Workshop Papers

  • Computing Bayes Nash Equilibrium Strategies in Crowdsourcing Contests
    Martin Bichler, Markus Ewert, Matthias Oberlechner.
    In 32nd Workshop on Information Technologies and Systems (WITS-22), Copenhagen, Denmark.
     
  • Computing Distributional Bayes Nash Equilibria in Auction Games via Gradient Dynamics.
    Martin Bichler, Maximilian Fichtl, Matthias Oberlechner
    In Workshop on Reinforcement Learning in Games (AAAI-22, Online). [venue, pdf]
    Previous Version in Workshop on Learning in Presence of Strategic Behavior (NeurIPS21, Online). [venue]

Teaching

Classes

  • Operations Research (IN0024)
    Teaching Assistant: SS21, SS22, SS23
     
  • Auction Theory and Market Design (IN2211)
    Teaching Assistant: WS21/22, WS22/23

Supervised Theses

  • Learning Discrete Equilibrium Strategies in Auction Games
    Master Thesis, Robotics, Cognition, Intelligence, 2022
  • Visualisation of different Learning Algorithms in Matrix Games
    Bachelor Thesis, Information Systems, 2022
  • Multiplicative Weights Update in Congestion Games
    Bachelor Thesis, Information Systems, 2022
  • Solving the CVRPTW: Quantum Annealing vs. Exact Optimization
    Master Thesis, Mathematics, 2022
  • Visualization of Different Equilibrium Concepts in Matrix Games
    Bachelor Thesis, Information Systems, 2022
  • A Comparison of No-External-Regret and No-Internal-Regret Learning Algorithmis in Matrix Games
    Bachelor Thesis, Informatics, 2022
  • No-Regret Learning in Finite Games
    Bachelor Thesis, Information Systems, 2022
  • Stable Marriage Problem: Fair Algorithms and Applications
    Bachelor Thesis, Information Systems, 2021

For available theses topics, check out this page.