Publications

2026

1. Game-Theoretic Decision Making in Multi-Agent Systems under Constraints and Welfare Objectives

   Anna Maddux

   EPFL , 2026

   Bib HTML

   @phdthesis{maddux2026,
     title = {Game-Theoretic Decision Making in Multi-Agent Systems under Constraints and Welfare Objectives},
     author = {Maddux, Anna},
     year = {2026},
     school = {EPFL},
     doi = {10.5075/epfl-thesis-11663},
     url = {https://infoscience.epfl.ch/entities/publication/c7fada0a-1c12-4f44-bffe-e107ecac2db6},
   }

2. TCNS

   Finite-Time Convergence to an ε-Efficient Nash Equilibrium in Potential Games

   Anna Maddux ,  Reda Ouhamma ,  Hana Catic ,  and  Maryam Kamgarpour

   IEEE Transactions on Control of Network Systems, 2026

   Bib

   @article{maddux2026finite,
     author = {Maddux, Anna and Ouhamma, Reda and Catic, Hana and Kamgarpour, Maryam},
     journal = {IEEE Transactions on Control of Network Systems},
     title = {Finite-Time Convergence to an $\epsilon$-Efficient Nash Equilibrium in Potential Games},
     year = {2026},
     volume = {13},
     number = {2},
     pages = {1083-1095},
     keywords = {Games;Convergence;Nash equilibrium;Heuristic algorithms;Routing;Polynomials;Network systems;Control systems;Artificial intelligence;Approximation algorithms;Game theory;log-linear learning;potential games},
     doi = {10.1109/TCNS.2026.3673502},
   }

3. AISTATS

   Eliciting Truthful Feedback for Preference-Based Learning via the VCG Mechanism

   Leo Landolt ,  Anna Maria Maddux ,  Andreas Schlaginhaufen ,  Saurabh Vaishampayan ,  and  Maryam Kamgarpour

   In The 29th International Conference on Artificial Intelligence and Statistics , 2026

   Bib

   @inproceedings{landolt2026eliciting,
     title = {Eliciting Truthful Feedback for Preference-Based Learning via the {VCG} Mechanism},
     author = {Landolt, Leo and Maddux, Anna Maria and Schlaginhaufen, Andreas and Vaishampayan, Saurabh and Kamgarpour, Maryam},
     booktitle = {The 29th International Conference on Artificial Intelligence and Statistics},
     year = {2026},
     url = {https://openreview.net/forum?id=kyBEsq2xw1},
   }

4. ICML Workshop

   Preference-Based Distributed Welfare Maximization: A Game-Theoretic Approach

   Antoine Bergerault ,  Anna Maria Maddux ,  Andreas Schlaginhaufen ,  and  Maryam Kamgarpour

   In New Frontiers in Game-Theoretic Learning - NExT-Game , 2026

   Bib

   @inproceedings{bergerault2026preferencebased,
     title = {Preference-Based Distributed Welfare Maximization: A Game-Theoretic Approach},
     author = {Bergerault, Antoine and Maddux, Anna Maria and Schlaginhaufen, Andreas and Kamgarpour, Maryam},
     booktitle = {New Frontiers in Game-Theoretic Learning - NExT-Game},
     year = {2026},
     url = {https://openreview.net/forum?id=CAS7aInVos},
   }

2025

1. On characterization and existence of a constrained correlated equilibria in Markov games

   Tingting Ni ,  Anna Maddux ,  and  Maryam Kamgarpour

   arXiv preprint arXiv:2507.03502, 2025

   Bib

   @article{ni2025characterization,
     title = {On characterization and existence of a constrained correlated equilibria in Markov games},
     author = {Ni, Tingting and Maddux, Anna and Kamgarpour, Maryam},
     journal = {arXiv preprint arXiv:2507.03502},
     year = {2025},
   }

2. CDC

   No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing

   Anna Maddux ,  Marko Maljkovic ,  Nikolas Geroliminis ,  and  Maryam Kamgarpour

   arXiv preprint arXiv:2504.03745, 2025

   Bib

   @article{maddux2025no,
     title = {No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing},
     author = {Maddux, Anna and Maljkovic, Marko and Geroliminis, Nikolas and Kamgarpour, Maryam},
     journal = {arXiv preprint arXiv:2504.03745},
     year = {2025},
   }

2024

1. AISTATS

   Multi-Agent Learning in Contextual Games under Unknown Constraints

   Anna M Maddux ,  and  Maryam Kamgarpour

   International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

   arXiv Bib HTML

   @article{maddux2023multi,
     title = {Multi-Agent Learning in Contextual Games under Unknown Constraints},
     author = {Maddux, Anna M and Kamgarpour, Maryam},
     journal = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
     year = {2024},
   }

2. ICML Workshop

   Finite-time convergence to an ε-efficient Nash equilibrium in potential games

   Anna Maddux ,  Reda Ouhamma ,  and  Maryam Kamgarpour

   ICML Workshop on Foundations of Reinforcement Learning and Control: Connections and Perspectives, 2024, 2024

   arXiv Bib HTML

   @article{maddux2024finitetime,
     title = {Finite-time convergence to an $\epsilon$-efficient Nash equilibrium in potential games},
     author = {Maddux, Anna and Ouhamma, Reda and Kamgarpour, Maryam},
     year = {2024},
     journal = {ICML Workshop on Foundations of Reinforcement Learning and Control: Connections and Perspectives, 2024},
   }

2023

1. Reinforcement learning for scaffold-free construction of spanning structures

   Gabriel Vallat ,  Jingwen Wang ,  Anna Maddux ,  Maryam Kamgarpour ,  and  Stefana Parascho

   In Proceedings of the 8th ACM Symposium on Computational Fabrication , 2023

   Bib HTML

   @inproceedings{vallat2023reinforcement,
     title = {Reinforcement learning for scaffold-free construction of spanning structures},
     author = {Vallat, Gabriel and Wang, Jingwen and Maddux, Anna and Kamgarpour, Maryam and Parascho, Stefana},
     booktitle = {Proceedings of the 8th ACM Symposium on Computational Fabrication},
     pages = {1--12},
     year = {2023},
     doi = {10.1145/3623263.3623359},
     url = {https://dl.acm.org/doi/abs/10.1145/3623263.3623359},
   }

2. IFAC-PapersOnLine

   Data-driven behaviour estimation in parametric games

   Anna M Maddux ,  Nicolò Pagan ,  Giuseppe Belgioioso ,  and  Florian Dörfler

   IFAC-PapersOnLine, 2023

   arXiv Bib HTML

   @article{maddux2023data,
     title = {Data-driven behaviour estimation in parametric games},
     author = {Maddux, Anna M and Pagan, Nicol{\`o} and Belgioioso, Giuseppe and D{\"o}rfler, Florian},
     journal = {IFAC-PapersOnLine},
     volume = {56},
     number = {2},
     pages = {9330--9335},
     year = {2023},
     publisher = {Elsevier},
     doi = {10.1016/j.ifacol.2023.10.220},
     url = {https://www.sciencedirect.com/science/article/pii/S2405896323005712},
   }

2021

1. Behaviour estimation in dynamic games

   Anna Maddux

   ETH Zurich , 2021

   Bib HTML

   @mastersthesis{maddux2021behaviour,
     title = {Behaviour estimation in dynamic games},
     author = {Maddux, Anna},
     year = {2021},
     school = {ETH Zurich},
     doi = {10.3929/ethz-b-000485983},
     url = {https://www.research-collection.ethz.ch/handle/20.500.11850/485983},
   }