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Özgür Şimşek

Dr

 https://orcid.org/0000-0001-5449-0437

  • 1 WEST 4.58

Accepting PhD Students

20042019
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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

IAA - LettUs Grow IMI collaboration

Şimşek, Ö. & Ehrhardt, B.

Engineering and Physical Sciences Research Council

1/04/19 → 30/04/19

Project: Research council

Research Output 2004 2016

  • 8 Chapter
  • 1 Conference contribution
  • 1 Article

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
74 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