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 (2024). Mastering Board Games by External and Internal Planning with Language Models. preprint.

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L. Liu, S. Liu, M. Jusup (2024). Monte Carlo Planning for Stochastic Control on Constrained Markov Decision Processes. arXiv:2406.16151 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. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2024.

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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. Conference on Artificial Intelligence and Statistics (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. 22nd Swiss Transport Research Conference (STRC), 2022.

M. Jusup, A. Trivella, F. Corman (0001). A Review of Real-time Railway and Metro Rescheduling Models using Learning Algorithms. International Joint Conferences on Artificial Intelligence – Reinforcement Learning for Intelligent Transportation Systems Workshop (IJCAI), 2021.

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