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
2482005
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
2272004
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
1502005
Skill characterization based on betweenness
Ö Şimşek, AG Barto
Advances in neural information processing systems, 1497-1504, 2009
1442009
An intrinsic reward mechanism for efficient exploration
Ö Şimşek, AG Barto
Proceedings of the 23rd international conference on Machine learning, 833-840, 2006
1102006
Navigating networks by using homophily and degree
Ö Şimşek, D Jensen
Proceedings of the National Academy of Sciences 105 (35), 12758-12762, 2008
1062008
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
432005
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, 2904-2912, 2013
382013
Secondary-task measures of driver workload
BH Kantowitz, O Simsek
Stress, workload and fatigue, 2001
342001
Autocorrelation and relational learning: Challenges and opportunities
J Neville, O Simsek, D Jensen
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2004
282004
Behavioral building blocks for autonomous agents: description, identification, and learning
O Simsek
University of Massachusetts Amherst, 2008
262008
Learning from small samples: An analysis of simple decision heuristics
Ö Şimşek, M Buckmann
Advances in Neural Information Processing Systems, 3159-3167, 2015
222015
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
142017
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
142016
Development of Prototype Driver Model for Highway Design
O Simsek, AC Bittner Jr, WH Levison, S Garness
Task B: Speed-Decision Simulator Experiment. Battelle Human Factors …, 2000
122000
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