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
Award Date: 1 Sep 2008
Computer Science, Master in Science, University of Massachusetts
Award Date: 1 Sep 2004
Industrial Engineering and Operations Research, Master in Science, University of Massachusetts
Award Date: 1 Sep 1997
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 1 Finished
IAA - LettUs Grow IMI collaboration
Engineering and Physical Sciences Research Council
1/04/19 → 30/04/19
Project: Research council
Research Output
Iterative Policy-Space Expansion in Reinforcement Learning
Lichtenberg, J. & Şimşek, Ö., 2019.Research output: Contribution to conference › Poster
File
23
Downloads
(Pure)
Regularization in Directable Environments with Application to Tetris
Lichtenberg, J. & Şimşek, Ö., 15 Jun 2019, p. 3953-3962.Research output: Contribution to conference › Paper
File
20
Downloads
(Pure)
Why most decisions are easy in Tetris—And perhaps in other sequential decision problems, as well
Şimşek, Ö., Algorta, S. & Kothiyal, A., 30 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
1
Citation
(Scopus)
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
6
Citations
(Scopus)
Linear decision rule as aspiration for simple decision heuristics
Şimşek, Ö., 2014, Advances in Neural Information Processing Systems 26 : 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
21
Citations
(Scopus)