Özgür Şimşek
Özgür Şimşek
Professor of Artificial Intelligence, University of Bath
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Zitiert von
Zitiert von
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
Navigating networks by using homophily and degree
Ö Şimşek, D Jensen
Proceedings of the National Academy of Sciences 105 (35), 12758-12762, 2008
An intrinsic reward mechanism for efficient exploration
Ö Şimşek, AG Barto
Proceedings of the 23rd international conference on Machine learning, 833-840, 2006
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 145, 103773, 2023
Classification in the wild: The science and art of transparent decision making
KV Katsikopoulos, Ö Şimşek, M Buckmann, G Gigerenzer
MIT Press, 2021
Linear decision rule as aspiration for simple decision heuristics
Ö Şimşek
Advances in neural information processing systems 26, 2013
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
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
Simple regression models
JM Lichtenberg, Ö Şimşek
Imperfect decision makers: Admitting real-world rationality, 13-25, 2017
Secondary-task measures of driver workload
BH Kantowitz, O Simsek
Stress, workload, and fatigue, 395-408, 2000
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
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
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, Ö Şimşek, D Jensen
ICML 2004 Workshop on Statistical Relational Learning and its Connections to …, 2004
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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