‪Cevahir Koprulu‬ - ‪Google Scholar‬

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Co-authors

Ufuk TopcuThe University of Texas at AustinVerified email at utexas.edu
Yildiray Yildiz, PhD MITVisiting researcher, MIT. Assoc Prof, Bilkent Univ. Former scientist at NASA Ames Research CenterVerified email at nasa.gov
Christos VerginisAssistant Professor, Uppsala UniversityVerified email at angstrom.uu.se
Sandeep P ChinchaliAssistant Professor, UT Austin ECEVerified email at utexas.edu

Cevahir Koprulu

Cevahir Koprulu

Ph.D. Student, University of Texas at Asutin

Verified email at utexas.edu

Reinforcement Learning Curriculum Learning Multi-task Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics C Verginis, C Koprulu, S Chinchali, U Topcu arXiv preprint arXiv:2204.11833, 2022	6	2022
DeepFocus: a few-shot microscope slide auto-focus using a sample invariant CNN-based sharpness function A Shajkofci, M Liebling 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 164-168, 2020	6	2020
Act to Reason: A Dynamic Game Theoretical Driving Model for Highway Merging Applications C Koprulu, Y Yildiz 2021 IEEE Conference on Control Technology and Applications (CCTA), 747-752, 2021	4	2021
Act to reason: A dynamic game theoretical model of driving C Köprülü, Y Yıldız arXiv preprint arXiv:2101.05399, 2021	3	2021
Reward-machine-guided, self-paced reinforcement learning C Koprulu, U Topcu Uncertainty in Artificial Intelligence, 1121-1131, 2023	2	2023
Risk-Aware Curriculum Generation for Heavy-Tailed Task Distributions C Koprulu, TD Simão, N Jansen, U Topcu The 39th Conference on Uncertainty in Artificial Intelligence, 2023	1	2023

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