引用次数
引用: 1,358
H-指数: 21
I10-指数 : 26
出版物: 45
Batch Active Learning Using Determinantal Point Processes
Dorsa Sadigh , Nima Anari , Erdem Biyik , Kenneth Wang
arXiv: Learning
35
2019
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
Ramtin Pedarsani , Dorsa Sadigh , Erdem Biyik , Daniel A. Lazar
arXiv: Optimization and Control
24
2019
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
Dorsa Sadigh , Dylan P. Losey , Erdem Biyik , Gleb Shevchuk
arXiv: Robotics
38
2020
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes.
Dorsa Sadigh , Yanan Sui , Joel W. Burdick , Aaron D. Ames
arXiv: Robotics
18
2020
Preference-based Learning of Reward Function Features.
Mykel J. Kochenderfer , Erdem Biyik , Amir Maleki , Sydney M. Katz
arXiv: Robotics
5
2021
Active Preference-Based Gaussian Process Regression for Reward Learning
Erdem Biyik , Nicolas Huynh , Mykel Kochenderfer , Dorsa Sadigh
robotics science and systems 16
41
2020
Profile-encoding reconstruction for multiple-acquisition balanced steady-state free precession imaging
Efe Ilicak , Lutfi Kerem Senel , Erdem Biyik , Tolga Çukur
Magnetic Resonance in Medicine 78 ( 4) 1316 -1329
19
2017
Reconstruction by calibration over tensors for multi-coil multi-acquisition balanced SSFP imaging.
Erdem Biyik , Efe Ilicak , Tolga Çukur
Magnetic Resonance in Medicine 79 ( 5) 2542 -2554
12
2018
Active Learning of Reward Dynamics from Hierarchical Queries
Chandrayee Basu , Erdem Biyik , Zhixun He , Mukesh Singhal
intelligent robots and systems 120 -127
24
2019
Generalized approximate message-passing decoder for universal sparse superposition codes
Erdem Biyik , Jean Barbier , Mohamad Dia
2017 IEEE International Symposium on Information Theory (ISIT)
2017
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans
Minae Kwon , Erdem Biyik , Aditi Talati , Karan Bhasin
human-robot interaction 43 -52
16
2020
The Green Choice: Learning and Influencing Human Decisions on Shared Roads
Erdem Biyik , Daniel A. Lazar , Dorsa Sadigh , Ramtin Pedarsani
arXiv: Optimization and Control
21
2019
Learning multimodal rewards from rankings
Vivek Myers , Erdem Biyik , Nima Anari , Dorsa Sadigh
Smpte Journal 342 -352
15
2022
Assistive teaching of motor control tasks to humans
Megha Srivastava , Erdem Biyik , Suvir Mirchandani , Noah Goodman
Advances in Neural Information Processing Systems 35 28517 -28529
2
2022
Preference Elicitation with Soft Attributes in Interactive Recommendation
Erdem Biyik , Fan Yao , Yinlam Chow , Alex Haig
arXiv preprint arXiv:2311.02085
3
2023
Reinforcement learning based control of imitative policies for autonomous driving
Zhangjie Cao , Erdem Biyik , Woodrow Zhouyuan Wang , Allan Raventos
1
2021
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
Yufei Wang , Zhanyi Sun , Jesse Zhang , Zhou Xian
arXiv preprint arXiv:2402.03681
4
2024
Partner-aware algorithms in decentralized cooperative bandit teams
Erdem Biyik , Anusha Lalitha , Rajarshi Saha , Andrea Goldsmith
Proceedings of the AAAI Conference on Artificial Intelligence 36 ( 9) 9296 -9303
3
2022
Leveraging smooth attention prior for multi-agent trajectory prediction
Zhangjie Cao , Erdem Biyik , Guy Rosman , Dorsa Sadigh
2022 International Conference on Robotics and Automation (ICRA) 10723 -10730
5
2022
Efficient and safe exploration in deterministic markov decision processes with unknown transition models
Erdem Biyik , Jonathan Margoliash , Shahrouz Ryan Alimo , Dorsa Sadigh
2019 American Control Conference (ACC) 1792 -1799
22
2019