Follow
Özgür Şimşek
Title
Cited by
Cited by
Year
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
2952005
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
2682004
Skill characterization based on betweenness
Ö Şimşek, A Barto
Advances in neural information processing systems 21, 2008
1752008
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
1552005
An intrinsic reward mechanism for efficient exploration
Ö Şimşek, AG Barto
Proceedings of the 23rd international conference on Machine learning, 833-840, 2006
1342006
Navigating networks by using homophily and degree
Ö Şimşek, D Jensen
Proceedings of the National Academy of Sciences 105 (35), 12758-12762, 2008
1192008
Decentralized search in networks using homophily and degree disparity
O Simsek, D Jensen
IJCAI, 304-310, 2005
692005
Linear decision rule as aspiration for simple decision heuristics
Ö Şimşek
Advances in neural information processing systems 26, 2013
572013
Intrinsic motivation for reinforcement learning systems
AG Barto, O Simsek
Proceedings of the thirteenth yale workshop on adaptive and learning systems …, 2005
552005
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
502002
Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach
K Bluwstein, M Buckmann, A Joseph, S Kapadia, Ö Simsek
ECB Working Paper, 2021
462021
Secondary-task measures of driver workload
BH Kantowitz, O Simsek
Stress, workload, and fatigue, 395-408, 2000
402000
Learning from small samples: An analysis of simple decision heuristics
Ö Şimşek, M Buckmann
Advances in neural information processing systems 28, 2015
342015
Behavioral building blocks for autonomous agents: description, identification, and learning
O Simsek
University of Massachusetts Amherst, 2008
322008
Simple regression models
JM Lichtenberg, Ö Şimşek
Imperfect decision makers: Admitting real-world rationality, 13-25, 2017
282017
Classification in the wild: The science and art of transparent decision making
KV Katsikopoulos, Ö Şimşek, M Buckmann, G Gigerenzer
MIT Press, 2021
272021
Autocorrelation and relational learning: Challenges and opportunities
J Neville, O Simsek, D Jensen
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2004
272004
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
252016
Advanced Traveler Information Systems and Commercial Vehicle Operations Components of the Intelligent Transportation Systems: On-road Evaluation of ATIS Messages
BL Hooey, BH Kantowitz, O Simsek
United States. Federal Highway Administration, 1998
25*1998
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
172022
The system can't perform the operation now. Try again later.
Articles 1–20