Barna Pásztor Barna Pásztor Ph.D. Student barna.pasztor@ai.ethz.ch I am primarily interested in large multi-agent systems, reinforcement learning including RLHF, and their applications on socio-economic issues. Publications 2026 ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning D. Melikidze*, M. Schneider*, J. Lam*, M. Wertich*, I. Hakimi, B. Pásztor, A. KrauseIn International Conference on Machine Learning (ICML), 2026[bibtex] [abstract] [pdf] [blog] Scalable ride-sourcing vehicle rebalancing with service accessibility guarantee: A constrained mean-field reinforcement learning approach M. Jusup, K. Zhang, Z. Hu, B. Pásztor, A. Krause, F. CormanIn Transportation Research Part C: Emerging Technologies, volume 188, 2026[bibtex] [abstract] [pdf] [doi] Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game B. Pásztor, T. K. Buening, A. KrauseIn The Fourteenth International Conference on Learning Representations, 2026[bibtex] [abstract] [pdf] 2024 Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes V. Thoma, B. Pásztor, A. Krause, G. Ramponi, Y. HuIn Proc. Neural Information Processing Systems (NeurIPS), 2024[bibtex] [abstract] [pdf] Bandits with Preference Feedback: A Stackelberg Game Perspective B. Pásztor, P. Kassraie, A. KrauseIn Proc. Neural Information Processing Systems (NeurIPS), 2024[bibtex] [abstract] [pdf] Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning M. Jusup, B. Pásztor, T. Janik, K. Zhang, F. Corman, A. Krause, I. BogunovicIn Proc. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), International Foundation for Autonomous Agents and Multiagent Systems, 2024[bibtex] [abstract] [pdf] 2023 Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning B. Pásztor, A. Krause, I. BogunovicIn Transactions on Machine Learning Research, 2023[bibtex] [abstract] [pdf]
