Isaak L. Geursen, Bruno F. Santos, N. Yorke-Smith (2023), Fleet planning under demand and fuel price uncertainty using actor–critic reinforcement learning, In Journal of Air Transport Management Volume 109.

Wenjie Ouyang, Yiwen Jiao, Yang Liu, Yang Li, Manjiang Hu, Hongmao Qin (2023), Hierarchical Clustering-Based State Grouping Reinforcement Learning for Switching Decision of Autonomous Vehicles, Rong Song (Eds.), In Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 p.1375-1380, IEEE.

Philippe de Bekker, Sho Cremers, Sonam Norbu, David Flynn, Valentin Robu (2023), Improving the efficiency of renewable energy assets by optimizing the matching of supply and demand using a smart battery scheduling algorithm, In Energies Volume 16.

Konstantin Kueffner, Anna Lukina, Christian Schilling, Thomas A. Henzinger (2023), Into the unknown: active monitoring of neural networks (extended version), In International Journal on Software Tools for Technology Transfer Volume 25 p.575-592.

Álvaro Serra-Gómez, Hai Zhu, B.F. Ferreira de Brito, Wendelin Böhmer, Javier Alonso-Mora (2023), Learning scalable and efficient communication policies for multi-robot collision avoidance, In Autonomous Robots Volume 47 p.1275-1297.

Pankaj R. Telang, Munindar P. Singh, Neil Yorke-Smith (2023), Maintenance commitments: Conception, semantics, and coherence, In Artificial Intelligence Volume 324.

Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter Bosman (2023), Mini-Batching, Gradient-Clipping, First-versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression', In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference p.1127-1136, ACM.

Issa K. Hanou, Mathijs M. de Weerdt, Jesse Mulderij (2023), Moving Trains like Pebbles: A Feasibility Study on Tree Yards, In Proceedings International Conference on Automated Planning and Scheduling, ICAPS p.482-490.

Robert Wenink, Martin van der Eijk, Neil Yorke-Smith, Peter Wellens (2023), Multi-fidelity Kriging extrapolation together with CFD for the design of the cross-section of a falling lifeboat, In International Shipbuilding Progress Volume 70 p.115-150.

Timo M. Deist, Monika Grewal, Frank J.W.M. Dankers, Tanja Alderliesten, Peter A.N. Bosman (2023), Multi-objective Learning Using HV Maximization, Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva (Eds.), In Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Proceedings p.103-117, Springer.