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Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ...
arXiv preprint arXiv:2307.15217, 2023
4292023
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
1442019
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
The International Journal of Robotics Research 41 (1), 45-67, 2022
1232022
Batch Active Preference-Based Learning of Reward Functions
E Bıyık, D Sadigh
Proceedings of the 2nd Conference on Robot Learning 87 (Proceedings of …, 2018
1222018
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
1142020
Active preference-based gaussian process regression for reward learning
E Bıyık, N Huynh, MJ Kochenderfer, D Sadigh
arXiv preprint arXiv:2005.02575, 2020
1062020
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
732020
Batch Active Learning Using Determinantal Point Processes
E Bıyık, K Wang, N Anari, D Sadigh
arXiv preprint arXiv:1906.07975, 2019
642019
Learning multimodal rewards from rankings
V Myers, E Biyik, N Anari, D Sadigh
Conference on Robot Learning, 342-352, 2022
542022
Roboclip: One demonstration is enough to learn robot policies
S Sontakke, J Zhang, S Arnold, K Pertsch, E Bıyık, D Sadigh, C Finn, L Itti
Advances in Neural Information Processing Systems 36, 2024
522024
Learning how to dynamically route autonomous vehicles on shared roads
DA Lazar, E Bıyık, D Sadigh, R Pedarsani
Transportation Research Part C: Emerging Technologies 130, 103258, 2021
522021
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, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 3212-3218, 2021
452021
Active learning of reward dynamics from hierarchical queries
C Basu, E Bıyık, Z He, M Singhal, D Sadigh
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
442019
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
392017
Learning Reward Functions from Scale Feedback
N Wilde, E Bıyık, D Sadigh, SL Smith
arXiv preprint arXiv:2110.00284, 2021
362021
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
362019
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
Y Wang, Z Sun, J Zhang, Z Xian, E Biyik, D Held, Z Erickson
arXiv preprint arXiv:2402.03681, 2024
352024
APReL: A Library for Active Preference-based Reward Learning Algorithms
E Bıyık, A Talati, D Sadigh
Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot …, 2022
352022
Emergent Prosociality in Multi-Agent Games Through Gifting
WZ Wang, M Beliaev, E Bıyık, DA Lazar, R Pedarsani, D Sadigh
arXiv preprint arXiv:2105.06593, 2021
322021
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
322018
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