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2020 – today
- 2024
[c1]Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken:
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. AAAI 2024: 9626-9635- [i5]Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken:
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. CoRR abs/2402.08129 (2024) - [i4]Vinzenz Thoma, Barna Pasztor, Andreas Krause, Giorgia Ramponi, Yifan Hu:
Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes. CoRR abs/2406.01575 (2024) - [i3]Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He:
Learning to Steer Markovian Agents under Model Uncertainty. CoRR abs/2407.10207 (2024) - 2023
- [i2]Vinzenz Thoma, Vitor Bosshard, Sven Seuken:
Computing Perfect Bayesian Equilibria in Sequential Auctions. CoRR abs/2312.04516 (2023) - [i1]Vinzenz Thoma, Michael J. Curry, Niao He, Sven Seuken:
Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning. CoRR abs/2312.13232 (2023)
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