Fair Set Selection: Meritocracy and Social Welfare. - Thomas Kleine Buening; Meirav Segal; Debabrota Basu; Christos Dimitrakakis (CoRR, 2021)

On Meritocracy in Optimal Set Selection. - Thomas Kleine Buening; Meirav Segal; Debabrota Basu; Anne-Marie George; Christos Dimitrakakis (EAAMO, 2022)

Interactive Inverse Reinforcement Learning for Cooperative Games. - Thomas Kleine Büning; Anne-Marie George; Christos Dimitrakakis (ICML, 2022)

Environment Design for Inverse Reinforcement Learning. - Thomas Kleine Buening; Christos Dimitrakakis (CoRR, 2022)

Minimax-Bayes Reinforcement Learning. - Thomas Kleine Buening; Christos Dimitrakakis; Hannes Eriksson; Divya Grover; Emilio Jorge (AISTATS, 2023)

ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits. - Thomas Kleine Buening; Aadirupa Saha (AISTATS, 2023)

Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. - Thomas Kleine Buening; Aadirupa Saha; Christos Dimitrakakis; Haifeng Xu (ICLR, 2024)

Environment Design for Inverse Reinforcement Learning. - Thomas Kleine Buening; Victor Villin; Christos Dimitrakakis (ICML, 2024)

Strategic Linear Contextual Bandits. - Thomas Kleine Buening; Aadirupa Saha; Christos Dimitrakakis; Haifeng Xu (NeurIPS, 2024)

A Minimax Approach to Ad Hoc Teamwork. - Victor Villin; Thomas Kleine Buening; Christos Dimitrakakis (AAMAS, 2025)

A Unifying Framework for Causal Imitation Learning with Hidden Confounders. - Daqian Shao; Thomas Kleine Buening; Marta Kwiatkowska (CoRR, 2025)

Strategyproof Reinforcement Learning from Human Feedback. - Thomas Kleine Buening; Jiarui Gan; Debmalya Mandal; Marta Kwiatkowska (CoRR, 2025)