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
2602005
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
2392004
Skill characterization based on betweenness
O Simsek, AS Barreto
Advances in neural information processing systems, 1497-1504, 2008
1522008
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
1512005
Navigating networks by using homophily and degree
Ö Şimşek, D Jensen
Proceedings of the National Academy of Sciences 105 (35), 12758-12762, 2008
1172008
An intrinsic reward mechanism for efficient exploration
Ö Şimşek, AG Barto
Proceedings of the 23rd international conference on Machine learning, 833-840, 2006
1112006
Decentralized search in networks using homophily and degree disparity
O Simsek, D Jensen
IJCAI, 304-310, 2005
652005
Intrinsic motivation for reinforcement learning systems
AG Barto, O Simsek
Proceedings of the Thirteenth Yale Workshop on Adaptive and Learning Systems …, 2005
442005
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
422002
Linear decision rule as aspiration for simple decision heuristics
Ö Şimşek
Advances in neural information processing systems 26, 2904-2912, 2013
412013
Secondary-task measures of driver workload
BH Kantowitz, O Simsek
Stress, workload and fatigue, 2001
342001
Behavioral building blocks for autonomous agents: description, identification, and learning
O Simsek
University of Massachusetts Amherst, 2008
282008
Autocorrelation and relational learning: Challenges and opportunities
J Neville, O Simsek, D Jensen
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2004
282004
Learning from small samples: An analysis of simple decision heuristics
Ö Şimşek, M Buckmann
29th Annual Conference on Neural Information Processing Systems (NIPS), 3141 …, 2015
242015
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
201998
Betweenness centrality as a basis for forming skills
O Simsek, A Barto
Technical report, University of Massachusetts, Department of Computer Science, 2007
162007
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
162001
Simple regression models
JM Lichtenberg, Ö Şimşek
Imperfect decision makers: Admitting real-world rationality, 13-25, 2017
152017
Why most decisions are easy in Tetris—And perhaps in other sequential decision problems, as well
O Simsek, S Algorta, A Kothiyal
International Conference on Machine Learning, 1757-1765, 2016
152016
Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach
K Bluwstein, M Buckmann, A Joseph, M Kang, S Kapadia, Ö Simsek
Bank of England Working Paper, 2020
122020
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