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Özgür Şimşek

Dr

  • 1 WEST 4.61

Accepting PhD Students

20042016

Research Output 2004 2016

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Chapter
2016

Why most decisions are easy in Tetris—And perhaps in other sequential decision problems, as well

Şimşek, Ö., Algorta, S. & Kothiyal, A. 2016 Proceedings of the 33nd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 19-24, 2016. Balcan, M-F. & Weinberger, K. Q. (eds.). p. 1757-1765 9 p. (JMLR Workshop and Conference Proceedings; vol. 48)

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
2015
2 Citations

Learning from small samples: An analysis of simple decision heuristics

Şimşek, Ö. & Buckmann, M. 2015 Advances in Neural Information Processing Systems 28 (NIPS 2015): Annual Conference on Neural Information Processing Systems, Montreal, Quebec, Canada, December 7-12, 2015. Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M. & Garnett, R. (eds.). Curran Associates, Inc., p. 3159-3167 9 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Heuristics
Small sample
Animals
2013
9 Citations

Linear decision rule as aspiration for simple decision heuristics

Şimşek, Ö. 2013 Advances in Neural Information Processing Systems 26 (NIPS 2013), 27th Annual Conference on Neural Information Processing Systems 2013: Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. Burges, C. J. C., Bottou, L., Welling, M., Ghahramani, Z. & Weinberger, K. Q. (eds.). Curran Associates, Inc., p. 2904-2912 9 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Heuristics
Aspiration
Approximation
2009
50 Citations

Skill characterization based on betweenness

Şimşek, Ö. & Barto, A. G. 2009 Advances in Neural Information Processing Systems 21 (NIPS 2008): Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008. Koller, D., Schuurmans, D., Bengio, Y. & Bottou, L. (eds.). Curran Associates, Inc., p. 1497-1504 8 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
2006
30 Citations

An intrinsic reward mechanism for efficient exploration

Şimşek, Ö. & Barto, A. G. 2006 Proceedings of the Twenty-Third International Conference on Machine Learning (ICML 2006): Pittsburgh, Pennsylvania, USA, June 25-29, 2006 . Cohen, W. W. & Moore, A. (eds.). Association for Computing Machinery, Vol. 148, p. 833-840 8 p. (ACM International Conference Proceedings)

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Reinforcement learning
2005
30 Citations

Decentralized search in networks using homophily and degree disparity

Şimşek, Ö. & Jensen, D. D. 2005 Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05): Edinburgh, Scotland, UK, July 30 - August 5, 2005 . Kaelbling, L. P. & Saffiotti, A. (eds.). Professional Book Center, p. 304-310 7 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Complex networks
Decision making
Topology
95 Citations

Identifying useful subgoals in reinforcement learning by local graph partitioning

Şimşek, Ö., Wolfe, A. P. & Barto, A. G. 2005 Proceedings of the Twenty-Second International Conference on Machine Learning (ICML 2005) Bonn, Germany, August 7-11, 2005. De Raedt, L. & Wrobel, S. (eds.). p. 816-823 8 p. (ACM International Conference Proceedings; vol. 119)

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
63 Citations

Using relational knowledge discovery to prevent securities fraud

Neville, J., Şimşek, Ö., Jensen, D. D., Komoroske, J., Palmer, K. & Goldberg, H. 2005 Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005. Grossman, R., Bayardo, R. J. & Bennett, K. P. (eds.). Association for Computing Machinery, p. 449-458 10 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2004
79 Citations

Using relative novelty to identify useful temporal abstractions in reinforcement learning

Şimşek, Ö. & Barto, A. G. 2004 Proceedings of the Twenty-first International Conference on Machine Learning (ICML 2004): Banff, Alberta, Canada, July 4-8, 2004. Brodley, C. E. (ed.). Association for Computing Machinery, Vol. 69, (ACM International Conference Proceeding Series)

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
Reinforcement learning