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Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees

Alessandro Falsone, Federico Molinari, Maria Prandini. Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees. In Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, editors, Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Volume 120 of Proceedings of Machine Learning Research, pages 1000-1009, PMLR, 2020. [doi]

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Alessandro Falsone

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Federico Molinari

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Maria Prandini

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