Sotabase

Career

· Assistant Professor, University of Southern California2023–
· Research Intern, Google2021–
· Aselsan
· B.Sc. Student, Bilkent University
· M.Sc. Student, Stanford University
· PhD Student, Stanford University
· Postdoctoral Researcher, UC Berkeley
· Assistant Professor, USC

Publications (69)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Trans. Mach. Learn. Res. · 2023
738
cited
Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences
Int. J. Robotics Res. · 2020
136
cited
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Conference on Robot Learning · 2019
130
cited
Batch Active Preference-Based Learning of Reward Functions
Conference on Robot Learning · 2018
129
cited
Active preference-based Gaussian process regression for reward learning and optimization
Robotics: Science and Systems · 2020
127
cited
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
International Conference on Machine Learning · 2024
118
cited
NaVILA: Legged Robot Vision-Language-Action Model for Navigation
Robotics · 2024
115
cited
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Neural Information Processing Systems · 2023
115
cited
When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans
IEEE/ACM International Conference on Human-Robot Interaction · 2020
110
cited
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Robotics: Science and Systems · 2020
70
cited
Batch Active Learning Using Determinantal Point Processes
arXiv.org · 2019
68
cited
Learning Multimodal Rewards from Rankings
Conference on Robot Learning · 2021
59
cited
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
arXiv.org · 2019
57
cited
Learning Reward Functions from Scale Feedback
Conference on Robot Learning · 2021
43
cited
APReL: A Library for Active Preference-based Reward Learning Algorithms
IEEE/ACM International Conference on Human-Robot Interaction · 2021
40
cited
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
IEEE International Conference on Robotics and Automation · 2020
37
cited
The Green Choice: Learning and Influencing Human Decisions on Shared Roads
IEEE Conference on Decision and Control · 2019
31
cited
Profile‐encoding reconstruction for multiple‐acquisition balanced steady‐state free precession imaging
Magnetic Resonance in Medicine · 2017
30
cited
Active Learning of Reward Dynamics from Hierarchical Queries
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
29
cited
Emergent Prosociality in Multi-Agent Games Through Gifting
International Joint Conference on Artificial Intelligence · 2021
25
cited
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Erdem Bıyık | Researcher Profile | Sotabase | Sotabase