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 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]
