Roel van den Broek, Han Hoogeveen, Marjan van den Akker, Bob Huisman (2022), A Local Search Algorithm for Train Unit Shunting with Service Scheduling, In Transportation Science Volume 56 p.141-161.

Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T.J. Spaan, Martin Lauer (2022), A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics using Constrained Reinforcement Learning, In Proceedings of the IEEE International Conference on Intelligent Transportation Systems p.4017-4023, IEEE.

Daniel Mitchell, Jamie Blanche, Sam Harper, Theodore Lim, Ranjeetkumar Gupta, Osama Zaki, Wenshuo Tang, Valentin Robu, Simon Watson, David Flynn (2022), A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector, In Energy and AI p.1-36.

Sebastian Junges, Matthijs T.J. Spaan (2022), Abstraction-Refinement for Hierarchical Probabilistic Models, Sharon Shoham, Yakir Vizel (Eds.), In Computer Aided Verification - 34th International Conference, CAV 2022, Proceedings p.102-123, Springer.

Johan Los, Frederik Schulte, Matthijs T.J. Spaan, Rudy R. Negenborn (2022), An Auction-Based Multi-Agent System for the Pickup and Delivery Problem with Autonomous Vehicles and Alternative Locations, Michael Freitag, Aseem Kinra, Herbert Kotzab, Nicole Megow (Eds.), In Dynamics in Logistics p.244-260, Springer.

Canmanie Ponnambalam, Danial Kamran, Thiago D. Simão, Frans A. Oliehoek, Matthijs T.J. Spaan (2022), Back to the Future: Solving Hidden Parameter MDPs with Hindsight.

Jaap Jan van der Steeg, Menno Oudshoorn, Neil Yorke-Smith (2022), Berth planning and real-time disruption recovery: a simulation study for a tidal port, In Flexible Services and Manufacturing Journal Volume 35 (2023) p.70-110.

Weiqi Hua, Fengji Luo, Liang Du, Sijie Chen, Taesic Kim, Thomas Morstyn, Valentin Robu, Yue Zhou (2022), Blockchain technologies empowering peer-to-peer trading in multi-energy systems: From advanced technologies towards applications, IET Smart Grid Volume 5 p.219-222.

Arkadiy Dushatskiy, Gerry Lowe, Peter A.N. Bosman, Tanja Alderliesten (2022), Data variation-aware medical image segmentation, Olivier Colliot, Ivana Isgum, Bennett A. Landman, Murray H. Loew (Eds.), In Medical Imaging 2022, SPIE.

G. Neustroev, Sytze P.E. Andringa, Remco A. Verzijlbergh, Mathijs M. de Weerdt (2022), Deep Reinforcement Learning for Active Wake Control, In International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 p.944-953, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).