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Yun Li, Neil Yorke-Smith, Tamas Keviczky (2023), Robust Optimal Control With Inexact State Measurements and Adjustable Uncertainty Sets, In IFAC-PapersOnLine p.562-569.

Kim Van Den Houten, Mathijs De Weerdt, David M.J. Tax, Esteban Freydell, Eva Christoupoulou, Alessandro Nati (2023), Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem, In Proceedings of the 2023 Winter Simulation Conference (WSC) p.1912-1923, IEEE.

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel (2023), SaDe: Learning Models that Provably Satisfy Domain Constraints, Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas (Eds.), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings p.410-425, Springer.

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Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T.J. Spaan (2023), Scalable Safe Policy Improvement via Monte Carlo Tree Search, In Proceedings of Machine Learning Research p.3732-3756.

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Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter Bosman (2023), Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search, Kobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu (Eds.), In ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings p.381-388, IOS Press.

Matthias Horn, Emir Demirovic, Neil Yorke-Smith (2023), Solving the Multi-Choice Two Dimensional Shelf Strip Packing Problem with Time Windows, In Proceedings International Conference on Automated Planning and Scheduling, ICAPS p.491-499.