Publications

J. Schultz*, J. Adamek*, M. Jusup*, M. Lanctot, M. Kaisers, S. Perrin, D. Hennes, J. Shar, C. Lewis, A. Ruoss, T. Zahavy, P. Veličković, L. Prince, S. Singh, E. Malmi, N. Tomašev (2025). Mastering Board Games by External and Internal Planning with Language Models. ICML 2025 (Spotlight).
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M. Jusup, K. Zhang, Z. Hu, B. Pásztor, A. Krause, F. Corman (2025). Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantees via Constrained Mean-Field Reinforcement Learning. arXiv preprint.
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P. Steinberg, J. Ziomek, M. Jusup, I. Bogunovic (2025). Mean-Field Bayesian Optimisation. arXiv preprint.
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L. Liu, S. Liu, M. Jusup (2024). Monte Carlo Planning for Stochastic Control on Constrained Markov Decision Processes. arXiv preprint.
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M. Jusup, B. Pásztor, T. Janik, K. Zhang, F. Corman, A. Krause, I. Bogunovic (2023). Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. AAMAS 2024 (Oral).
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V. Tkachuk, S. A. Bakhtiari, J. Kirschner, M. Jusup, I. Bogunovic, C. Szepesvari (2023). Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. AISTATS 2023.
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M. Jusup, J. Kirschner, T. Birchler, S. Curi, I. Bogunovic, A. Krause, F. Corman (2022). Real-time railway (re-) scheduling without human-expert knowledge. STRC 2022 (Oral).
M. Jusup, A. Trivella, F. Corman (2021). A Review of Real-time Railway and Metro Rescheduling Models using Learning Algorithms. IJCAI – RL4ITS Workshop 2021 (Oral).
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