Thomas Kleine Buening

22 papers A* 3A 3Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Language Models from User Interactions. CoRR Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause
2026	J	`jnl`	MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference. CoRR Raphaël Baur, Yannick Metz, Maria Gkoulta, Mennatallah El-Assady, Giorgia Ramponi, Thomas Kleine Buening
2026	J	`jnl`	Reinforcement Learning via Self-Distillation. CoRR Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause
2025	A	`conf`	A Minimax Approach to Ad Hoc Teamwork. AAMAS Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis
2025	J	`jnl`	A Minimax Approach to Ad Hoc Teamwork. CoRR Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis
2025	J	`jnl`	A Unifying Framework for Causal Imitation Learning with Hidden Confounders. CoRR Daqian Shao, Thomas Kleine Buening, Marta Kwiatkowska
2025	J	`jnl`	Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game. CoRR Barna Pásztor, Thomas Kleine Buening, Andreas Krause
2025	J	`jnl`	Strategyproof Reinforcement Learning from Human Feedback. CoRR Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, Marta Kwiatkowska
2024	A*	`conf`	Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. ICLR Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2024	A*	`conf`	Environment Design for Inverse Reinforcement Learning. ICML Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis
2024	—	`—`	Learning in the Presence of Cooperative, Adversarial and Strategic Agents. Thomas Kleine Buening
2024	A*	`conf`	Strategic Linear Contextual Bandits. NeurIPS Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2024	J	`jnl`	Strategic Linear Contextual Bandits. CoRR Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2023	A	`conf`	ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits. AISTATS Thomas Kleine Buening, Aadirupa Saha
2023	J	`jnl`	Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation. CoRR Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
2023	A	`conf`	Minimax-Bayes Reinforcement Learning. AISTATS Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
2023	J	`jnl`	Minimax-Bayes Reinforcement Learning. CoRR Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
2022	J	`jnl`	ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits. CoRR Thomas Kleine Buening, Aadirupa Saha
2022	J	`jnl`	Environment Design for Inverse Reinforcement Learning. CoRR Thomas Kleine Buening, Christos Dimitrakakis
2022	—	`conf`	On Meritocracy in Optimal Set Selection. EAAMO Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis
2021	J	`jnl`	Fair Set Selection: Meritocracy and Social Welfare. CoRR Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis
2021	J	`jnl`	Interactive Inverse Reinforcement Learning for Cooperative Games. CoRR Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis