Özgür Şimşek
Özgür Şimşek
Professor of Artificial Intelligence, University of Bath
Verified email at - Homepage
Cited by
Cited by
Identifying useful subgoals in reinforcement learning by local graph partitioning
Ö Şimşek, AP Wolfe, AG Barto
Proceedings of the 22nd international conference on Machine learning, 816-823, 2005
Using relative novelty to identify useful temporal abstractions in reinforcement learning
Ö Şimşek, AG Barto
Proceedings of the twenty-first international conference on Machine learning, 95, 2004
Skill characterization based on betweenness
Ö Şimşek, A Barto
Advances in neural information processing systems 21, 2008
Using relational knowledge discovery to prevent securities fraud
J Neville, Ö Şimşek, D Jensen, J Komoroske, K Palmer, H Goldberg
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
An intrinsic reward mechanism for efficient exploration
Ö Şimşek, AG Barto
Proceedings of the 23rd international conference on Machine learning, 833-840, 2006
Navigating networks by using homophily and degree
Ö Şimşek, D Jensen
Proceedings of the National Academy of Sciences 105 (35), 12758-12762, 2008
Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach
K Bluwstein, M Buckmann, A Joseph, S Kapadia, Ö Şimşek
Journal of International Economics, 103773, 2023
Decentralized search in networks using homophily and degree disparity
O Simsek, D Jensen
IJCAI, 304-310, 2005
Intrinsic motivation for reinforcement learning systems
AG Barto, O Simsek
Proceedings of the thirteenth yale workshop on adaptive and learning systems …, 2005
Linear decision rule as aspiration for simple decision heuristics
Ö Şimşek
Advances in neural information processing systems 26, 2013
Classification in the wild: The science and art of transparent decision making
KV Katsikopoulos, Ö Şimşek, M Buckmann, G Gigerenzer
MIT Press, 2021
On-road versus simulator data in driver model development driver performance model experience
AC Bittner Jr, O Simsek, WH Levison, JL Campbell
Transportation research record 1803 (1), 38-44, 2002
Secondary-task measures of driver workload
BH Kantowitz, O Simsek
Stress, workload, and fatigue, 395-408, 2000
Simple regression models
JM Lichtenberg, Ö Şimşek
Imperfect decision makers: Admitting real-world rationality, 13-25, 2017
Learning from small samples: An analysis of simple decision heuristics
Ö Şimşek, M Buckmann
Advances in neural information processing systems 28, 2015
Behavioral building blocks for autonomous agents: description, identification, and learning
O Simsek
University of Massachusetts Amherst, 2008
Why most decisions are easy in tetris—and perhaps in other sequential decision problems, as well
Ö Şimşek, S Algorta, A Kothiyal
International Conference on Machine Learning, 1757-1765, 2016
Autocorrelation and relational learning: Challenges and opportunities
J Neville, O Simsek, D Jensen
ICML Statistical Relational Learning Workshop. Banff, Canada, 2004
Transparent modeling of influenza incidence: Big data or a single data point from psychological theory?
KV Katsikopoulos, Ö Şimşek, M Buckmann, G Gigerenzer
International Journal of Forecasting 38 (2), 613-619, 2022
Computational techniques used in the driver performance model of the interactive highway safety design model
WH Levison, O Simsek, AC Bittner Jr, SJ Hunn
Transportation research record 1779 (1), 17-25, 2001
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