Professor of Artificial Intelligence, University of Bath, UK
Özgür Simsek is a Professor of Artificial Intelligence and Deputy Head of the Department of Computer Science at the University of Bath. Her research is on solving complex problems through autonomous search, learning, and development, spanning a number of different fields, including artificial intelligence, machine learning, network science, and decision heuristics. She is particularly interested in achieving open-ended developmental learning in large, complex environments.
Saunders, J., Prenevost, L., Şimşek, Ö., Hunter, A., & Li, W. (2023). Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning. arXiv preprint arXiv:2303.01173.
Katsikopoulos, K. V., Şimşek, Ö., Buckmann, M., & Gigerenzer, G. (2022). Transparent modeling of influenza incidence: Big data or a single data point from psychological theory?. International Journal of Forecasting, 38(2), 613-619.
Lichtenberg, J. M. , & Şimşek, Ö. (2019). Regularization in directable environments with application to Tetris. In Proceedings of the Thirty-Sixth International Conference on Machine Learning (ICML).
Şimşek, Ö., Algorta, S., & Kothiyal, A. (2016). Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As Well. In Proceedings of the Thirty-Third International Conference on Machine Learning (ICML).
Şimşek, Ö., & Buckmann, M. (2015). Learning from small samples: An analysis of simple decision heuristics. In Advances in Neural Information Processing Systems (NIPS) 28.
Şimşek, Ö. (2013). Linear decision rule as aspiration for simple decision heuristics. In Advances in Neural Information Processing Systems (NIPS) 26.