| Batch Active Preference-Based Learning of Reward Functions E Bıyık, D Sadigh Proceedings of the 2nd Conference on Robot Learning 87 (Proceedings of …, 2018 | 24 | 2018 |
| 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 | 21 | 2017 |
| 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 | 14 | 2020 |
| 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 | 14 | 2019 |
| 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 | 12 | 2019 |
| 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 | 11 | 2018 |
| 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 | 11 | 2017 |
| 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 | 10 | 2019 |
| Active preference-based gaussian process regression for reward learning E Bıyık, N Huynh, MJ Kochenderfer, D Sadigh arXiv preprint arXiv:2005.02575, 2020 | 9 | 2020 |
| 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 | 9 | 2019 |
| 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 | 9 | 2018 |
| Batch Active Learning Using Determinantal Point Processes E Bıyık, K Wang, N Anari, D Sadigh arXiv preprint arXiv:1906.07975, 2019 | 8 | 2019 |
| 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 | 8 | 2017 |
| 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 | 6 | 2020 |
| 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 | 3 | 2020 |
| Learning How to Dynamically Route Autonomous Vehicles on Shared Roads DA Lazar, E Bıyık, D Sadigh, R Pedarsani arXiv preprint arXiv:1909.03664, 2019 | 2 | 2019 |
| 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 | 1 | 2020 |
| 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 |
Dorsa SadighStanford UniversityVerified email at cs.stanford.edu
