Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A.N. Bosman (2022), Solving multi-structured problems by introducing linkage kernels into GOMEA, In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference p.703-711, ACM.

Miguel Suau, Jinke He, Matthijs T.J. Spaan, Frans A. Oliehoek (2022), Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators, In International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 p.1735-1737, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Johan Los, Frederik Schulte, Matthijs T.J. Spaan, Rudy R. Negenborn (2022), Strategic Bidding in Decentralized Collaborative Vehicle Routing, Michael Freitag, Aseem Kinra, Herbert Kotzab, Nicole Megow (Eds.), In Dynamics in Logistics p.261-274, Springer.

G. Veviurko, J.W. Böhmer, Laurens Mackay, M.M. de Weerdt (2022), Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability, In Energies Volume 15.

Geert L.J. Pingen, Christian R. van Ommeren, Cornelis J. van Leeuwen, Ruben W. Fransen, Tijmen Elfrink, Yorick C. de Vries, Janarthanan Karunakaran, Emir Demirović, Neil Yorke-Smith (2022), Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics, Akshat Kumar, Sylvie Thiebaux, Pradeep Varakantham, William Yeoh (Eds.), In Proceedings of the 32nd International Conference on Automated Planning and Scheduling, ICAPS 2022 p.480-489, Association for the Advancement of Artificial Intelligence (AAAI).

Q. Yang, T. D. Simão, Nils Jansen, Simon H. Tindemans, M.T.J. Spaan (2022), Training and Transferring Safe Policies in Reinforcement Learning, Hayes Cruz , Santos da Silva (Eds.), In Proceedings of the Adaptive and Learning Agents Workshop.

Ksenija Stepanovic, Jichen Wu, Rob Everhardt, Mathijs de Weerdt (2022), Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning, In Energies Volume 15 p.1-25.

K. Stepanovic, Jichen Wu, Rob Everhardt, M.M. de Weerdt (2022), Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning, 34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn).

Ali Termos, N. Yorke-Smith (2022), Urbanism and Geographic Crises: A Micro-Simulation Lens on Beirut, In Urban Planning Volume 7 p.87-100.

Kaan Yilmaz, Neil Yorke-Smith (2021), A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP, In AI Volume 2 p.150-178.