Vinzenz Thoma

According to our database, Vinzenz Thoma authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning to Steer Markovian Agents under Model Uncertainty.

Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification.

Vinzenz Thoma, Vitor Bosshard, Sven Seuken

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes.

Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu

CoRR, 2024

Contextual Bilevel Reinforcement Learning for Incentive Alignment.

Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings.

Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning.

Vinzenz Thoma, Michael J. Curry, Niao He, Sven Seuken

CoRR, 2023

Computing Perfect Bayesian Equilibria in Sequential Auctions.

Vinzenz Thoma, Vitor Bosshard, Sven Seuken

CoRR, 2023