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).
Stefan Hugtenburg, Neil Yorke-Smith (2022), Delftse Foundations of Computation 2nd Edition, TU Delft OPEN Publishing.
M. Suau, J. He, Mustafa Mert Çelikok, M.T.J. Spaan, F.A. Oliehoek (2022), Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho , A. Oh (Eds.), In Advances in Neural Information Processing Systems, Morgan Kaufmann Publishers.
Alexander Chebykin, Tanja Alderliesten, Peter A.N. Bosman (2022), Evolutionary neural cascade search across supernetworks, In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference p.1038-1047, Association for Computing Machinery (ACM).
Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A.N. Bosman (2022), Evolvability degeneration in multi-objective genetic programming for symbolic regression, In GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference p.973-981, Association for Computing Machinery (ACM).
J.G.M. van der Linden, M.M. de Weerdt, E. Demirović (2022), Fair and Optimal Decision Trees: A Dynamic Programming Approach, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh (Eds.), In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) p.38899-38911, Curran Associates, Inc..