Projects per year
Personal profile
Research interests
- Machine learning
- Artificial intelligence
- Reinforcement learning
- Bounded rationality
- Network science
Education/Academic qualification
Computer Science, Doctor of Philosophy, University of Massachusetts
Computer Science, Master in Science, University of Massachusetts
Industrial Engineering and Operations Research, Master in Science, University of Massachusetts
Fingerprint Dive into the research topics where Özgür Şimşek is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Reinforcement learning
Engineering & Materials Science
artificial intelligence
Earth & Environmental Sciences
Decision making
Engineering & Materials Science
Electric power distribution
Engineering & Materials Science
reinforcement
Earth & Environmental Sciences
Telecommunication networks
Engineering & Materials Science
Navigation
Engineering & Materials Science
learning
Earth & Environmental Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2019 2019
- 1 Finished
Research Output 2004 2016
Why most decisions are easy in Tetris—And perhaps in other sequential decision problems, as well
Şimşek, Ö., Algorta, S. & Kothiyal, A., 22 Jun 2016, Proceedings of The 33rd International Conference on Machine Learning. PMLR, Vol. 48. p. 1757-1765 9 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
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 proceeding › Chapter
Open Access
Decision making
Animals
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 proceeding › Chapter
Open Access
Aspiration
Decision heuristics
Decision rules
Heuristics
Natural environment
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 proceeding › Chapter
Open Access
71
Citations
(Scopus)
Navigating networks by using homophily and degree
Şimşek, Ö. & Jensen, D., 2 Sep 2008, In : Proceedings of the National Academy of Sciences. 105, 35, p. 12758-12762 5 p.Research output: Contribution to journal › Article
Open Access
Electric power distribution
Telecommunication networks
Navigation