Daniel S. Brown
机构: Assistant Professor, Robotics Center and School of Computing, University of Utah
主页: utah.edu
每年引用次数
引用次数
引用: 1,747
H-指数: 21
I10-指数 : 34
出版物: 63
Efficient preference-based reinforcement learning using learned dynamics models
Yi Liu , Gaurav Datta , Ellen Novoseller , Daniel S Brown
arXiv preprint arXiv:2301.04741
2023
Benchmarks and algorithms for offline preference-based reward learning
Daniel Shin , Anca D Dragan , Daniel S Brown
arXiv preprint arXiv:2301.01392
1
2023
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
Satvik Sharma , Ellen Novoseller , Vainavi Viswanath , Zaynah Javed
Smpte Journal 1116 -1123
1
2022
SIRL: Similarity-based Implicit Representation Learning
Andreea Bobu , Yi Liu , Rohin Shah , Daniel S Brown
Smpte Journal 565 -574
2023
Policy gradient bayesian robust optimization for imitation learning
Zaynah Javed , Daniel S Brown , Satvik Sharma , Jerry Zhu
Smpte Journal 4785 -4796
12
2021
ThriftyDAgger: Budget-aware novelty and risk gating for interactive imitation learning
Ryan Hoque , Ashwin Balakrishna , Ellen Novoseller , Albert Wilcox
arXiv preprint arXiv:2109.08273
24
2021
Value Alignment Verification.
Daniel S Brown , Jordan Schneider , Anca Dragan , Scott Niekum
arXiv: Learning
13
2020
Causal confusion and reward misidentification in preference-based reward learning
Jeremy Tien , Jerry Zhi-Yang He , Zackory Erickson , Anca D Dragan
arXiv preprint arXiv:2204.06601
26
2022
Learning representations that enable generalization in assistive tasks
Jerry Zhi-Yang He , Zackory Erickson , Daniel S Brown , Aditi Raghunathan
Conference on Robot Learning 2105 -2114
17
2023
Optimal cost design for model predictive control
Avik Jain , Lawrence Chan , Daniel S Brown , Anca D Dragan
Learning for Dynamics and Control 1205 -1217
17
2021
The effect of modeling human rationality level on learning rewards from multiple feedback types
Gaurav R Ghosal , Matthew Zurek , Daniel S Brown , Anca D Dragan
Proceedings of the AAAI Conference on Artificial Intelligence 37 ( 5) 5983 -5992
12
2023
Teaching robots to span the space of functional expressive motion
Arjun Sripathy , Andreea Bobu , Zhongyu Li , Koushil Sreenath
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 13406 -13413
10
2022
Dynamically switching human prediction models for efficient planning
Arjun Sripathy , Andreea Bobu , Daniel S Brown , Anca D Dragan
2021 IEEE International Conference on Robotics and Automation (ICRA) 3495 -3501
7
2021
Contextual Reliability: When Different Features Matter in Different Contexts
Gaurav Rohit Ghosal , Amrith Setlur , Daniel S Brown , Anca Dragan
International Conference on Machine Learning 11300 -11320
1
2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
Jerry Zhi-Yang He , Zackory Erickson , Daniel S Brown , Anca D Dragan
arXiv e-prints arXiv: 2310.10610 -arXiv: 2310.10610
2023
Exploratory grasping: Asymptotically optimal algorithms for grasping challenging polyhedral objects
Michael Danielczuk , Ashwin Balakrishna , Daniel S Brown , Shivin Devgon
arXiv preprint arXiv:2011.05632
15
2020
Legs: Learning efficient grasp sets for exploratory grasping
Letian Fu , Michael Danielczuk , Ashwin Balakrishna , Daniel S Brown
2022 International Conference on Robotics and Automation (ICRA) 8259 -8265
8
2022
Kit-Net: Self-supervised learning to kit novel 3D objects into novel 3D cavities
Shivin Devgon , Jeffrey Ichnowski , Michael Danielczuk , Daniel S Brown
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) 1124 -1131
8
2021
Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms
Ricardo Vega , Kevin Zhu , Connor Mattson , Daniel S Brown
arXiv preprint arXiv:2309.11408
2023
LAAIR: A layered architecture for autonomous interactive robots
Yuqian Jiang , Nick Walker , Minkyu Kim , Nicolas Brissonneau
arXiv preprint arXiv:1811.03563
24
2018