Erdem Bıyık
Erdem Bıyık
PhD Candidate, Stanford University Electrical Engineering
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Batch Active Preference-Based Learning of Reward Functions
E Bıyık, D Sadigh
Proceedings of the 2nd Conference on Robot Learning 87 (Proceedings of …, 2018
242018
Profile‐encoding reconstruction for multiple‐acquisition balanced steady‐state free precession imaging
E Ilicak, LK Senel, E Biyik, T Çukur
Magnetic resonance in medicine 78 (4), 1316-1329, 2017
212017
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh
arXiv preprint arXiv:1910.04365, 2019
142019
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans
M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh
Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020
132020
Efficient and safe exploration in deterministic markov decision processes with unknown transition models
E Biyik, J Margoliash, SR Alimo, D Sadigh
2019 American Control Conference (ACC), 1792-1799, 2019
112019
Reconstruction by calibration over tensors for multi‐coil multi‐acquisition balanced SSFP imaging
E Biyik, E Ilicak, T Cukur
Magnetic resonance in medicine 79 (5), 2542-2554, 2018
112018
Active learning of reward dynamics from hierarchical queries
C Basu, E Biyik, Z He, M Singhal, D Sadigh
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2019
102019
Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos
HC Baykara, E Bıyık, G Gül, D Onural, AS Öztürk, İ Yıldız
Tools with Artificial Intelligence (ICTAI), 2017 IEEE 29th International …, 2017
102017
The green choice: Learning and influencing human decisions on shared roads
E Bıyık, DA Lazar, D Sadigh, R Pedarsani
2019 IEEE 58th Conference on Decision and Control (CDC), 347-354, 2019
92019
Altruistic autonomy: Beating congestion on shared roads
E Bıyık, DA Lazar, R Pedarsani, D Sadigh
International Workshop on the Algorithmic Foundations of Robotics, 887-904, 2018
92018
Active preference-based gaussian process regression for reward learning
E Bıyık, N Huynh, MJ Kochenderfer, D Sadigh
arXiv preprint arXiv:2005.02575, 2020
82020
Generalized Approximate Message-Passing Decoder for Universal Sparse Superposition Codes
E Biyik, J Barbier, M Dia
International Symposium on Information Theory (ISIT) 2017, Aachen, Germany., 2017
82017
Batch Active Learning Using Determinantal Point Processes
E Bıyık, K Wang, N Anari, D Sadigh
arXiv preprint arXiv:1906.07975, 2019
72019
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Z Cao, E Bıyık, WZ Wang, A Raventos, A Gaidon, G Rosman, D Sadigh
arXiv preprint arXiv:2007.00178, 2020
32020
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
DA Lazar, E Bıyık, D Sadigh, R Pedarsani
arXiv preprint arXiv:1909.03664, 2019
22019
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
K Li, M Tucker, E Bıyık, E Novoseller, JW Burdick, Y Sui, D Sadigh, Y Yue, ...
arXiv preprint arXiv:2011.04812, 2020
12020
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
E Bıyık, DP Losey, M Palan, NC Landolfi, G Shevchuk, D Sadigh
arXiv preprint arXiv:2006.14091, 2020
12020
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
M Beliaev, E Bıyık, DA Lazar, WZ Wang, D Sadigh, R Pedarsani
arXiv preprint arXiv:2012.15749, 2020
2020
Multi-Agent Safe Planning with Gaussian Processes
Z Zhu, E Bıyık, D Sadigh
arXiv preprint arXiv:2008.04452, 2020
2020
Factorized sensitivity estimation for artifact suppression in phase‐cycled bSSFP MRI
E Bıyık, K Keskin, S UH Dar, A Koç, T Çukur
NMR in Biomedicine 33 (4), e4228, 2020
2020
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Articles 1–20