Diego A. Tejada-Arango, Abel S. Siqueira, Özge Özdemir, Germán Morales-España (2024), TulipaProfileFitting.jl: A Julia package for fitting renewable energy time series profiles, In SoftwareX Volume 27.

A. Nadeem (2024), Understanding Adversary Behavior via XAI: Leveraging Sequence Clustering To Extract Threat Intelligence, PhD Thesis Delft University of Technology.

C.T. Ponnambalam (2023), Abstraction-Guided Modular Reinforcement Learning, PhD Thesis Delft University of Technology.

Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer, Javier Alonso-Mora (2023), Active Classification of Moving Targets With Learned Control Policies, In IEEE Robotics and Automation Letters Volume 8 p.3717-3724.

Nicolas Schwind, Emir Demirović, Katsumi Inoue, Jean Marie Lagniez (2023), Algorithms for partially robust team formation, In Autonomous Agents and Multi-Agent Systems Volume 37.

Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge Hoogendoorn (2023), Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport, In 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023.

Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A.N. Bosman, Tanja Alderliesten (2023), Automatic landmark correspondence detection in medical images with an application to deformable image registration, In Journal of Medical Imaging Volume 10.

M. Suau, M.T.J. Spaan, F.A. Oliehoek (2023), Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL.

Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt (2023), Benchmarking surrogate-based optimisation algorithms on expensive black-box functions, In Applied Soft Computing Volume 147.

Q. Yang, M.T.J. Spaan (2023), CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration, In The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).