Publications and Preprints

2025

• Strategyproof Reinforcement Learning from Human Feedback [pdf]
  Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, Marta Kwiatkowska
  working paper

• A Unifying Framework for Causal Imitation Learning with Hidden Confounders [pdf]
  Daqian Shao, Thomas Kleine Buening, Marta Kwiatkowska
  Workshop on Spurious Correlation and Shortcut Learning (ICLR 2025)

• A Minimax Approach to Ad Hoc Teamwork [pdf]
  Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis
  AAMAS 2025

2024

• Strategic Linear Contextual Bandits [pdf]
  Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
  NeurIPS 2024

• Environment Design for Inverse Reinforcement Learning [pdf]
  Thomas Kleine Buening$^\star$, Victor Villin$^\star$, Christos Dimitrakakis
  ICML 2024, Oral Presentation (1.5%)

• Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation [pdf]
  Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
  ICLR 2024, Spotlight Presentation (5%)

2023

• Minimax-Bayes Reinforcement Learning [pdf]
  Thomas Kleine Buening$^\star$, Christos Dimitrakakis$^\star$, Hannes Eriksson$^\star$, Divya Grover$^\star$, Emilio Jorge$^\star$
  AISTATS 2023

• An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits [pdf]
  Thomas Kleine Buening, Aadirupa Saha
  AISTATS 2023

2022

• Interactive Inverse Reinforcement Learning for Cooperative Games [pdf]
  Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis
  ICML 2022, Best Paper Award at the Cooperative AI Workshop (NeurIPS 2021)

• On Meritocracy in Optimal Set Selection [pdf]
  Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis
  EEAMO 2022, Best Student Paper Award

$^\star$ equal contribution