Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study. - Sedar Olmez; Dan Birks; Alison J. Heppenstall (CoRR, 2022)

Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU. - Maxim Smilovitskiy; Sedar Olmez; Paul Richmond; Robert Chisholm; Peter Heywood; Alvaro Cabrejas; Sven van den Berghe; Sachio Kobayashi (PAAMS, 2024)

Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: A Lloyd's of London Case Study. - Sedar Olmez; Akhil Ahmed; Keith Kam; Zhe Feng; Alan Tua (J. Artif. Soc. Soc. Simul., 2024)

Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models. - Sedar Olmez; Dan Birks; Alison J. Heppenstall; Jiaqi Ge (Comput. Environ. Urban Syst., 2024)

Mitigating housing market shocks: an agent-based reinforcement learning approach with implications for real-time decision support. - Sedar Olmez; Alison J. Heppenstall; Jiaqi Ge; Corinna Elsenbroich; Dan Birks (J. Simulation, 2024)