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
Fingerprint
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
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KTP with IoMosaic international Ltd
Şimşek, Ö., Chew, J. & Perera, S.
1/11/20 → 30/04/23
Project: Central government, health and local authorities
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DETI - EC3 - Automated Data Curation
Şimşek, Ö., Campbell, N. & Fincham Haines, T.
West of England Combined Authority
1/08/20 → 31/07/22
Project: Central government, health and local authorities
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IAA - LettUs Grow IMI collaboration
Engineering and Physical Sciences Research Council
1/04/19 → 30/04/19
Project: Research council
Research Output
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Fast and frugal heuristics for portfolio decisions with positive project interactions
Durbach, I., Algorta, S., Kantu, D. . K., Katsikopoulos, K. & Şimşek, Ö., 30 Nov 2020, In: Decision Support Systems. 138, 113399.Research output: Contribution to journal › Article › peer-review
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Iterative Policy-Space Expansion in Reinforcement Learning
Lichtenberg, J. & Şimşek, Ö., 2019.Research output: Contribution to conference › Poster › peer-review
File53 Downloads (Pure) -
Regularization in Directable Environments with Application to Tetris
Lichtenberg, J. & Şimşek, Ö., 15 Jun 2019, Proceedings of Machine Learning Research. International Machine Learning Society (IMLS), Vol. 97. p. 3953-3962 10 p. (Proceedings of Machine Learning Research; vol. 97).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile36 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 Access1 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 Access7 Citations (Scopus)