Henry Zhu

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Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
Abhishek GuptaUniversity of WashingtonVerified email at cs.washington.edu
Kristian HartikainenUniversity of OxfordVerified email at berkeley.edu
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Alex Chohlas-WoodAssistant Professor, New York UniversityVerified email at nyu.edu
Sharad GoelProfessor of Public Policy, Harvard UniversityVerified email at hks.harvard.edu
Stefan WagerGraduate School of Business, Stanford UniversityVerified email at stanford.edu
Yuchen HuStanford UniversityVerified email at stanford.edu

Henry Zhu

Verified email at stanford.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Soft actor-critic algorithms and applications T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ... arXiv preprint arXiv:1812.05905, 2018	3044	2018
Dexterous manipulation with deep reinforcement learning: Efficient, general, and low-cost H Zhu, A Gupta, A Rajeswaran, S Levine, V Kumar 2019 International Conference on Robotics and Automation (ICRA), 3651-3657, 2019	245	2019
The ingredients of real-world robotic reinforcement learning H Zhu, J Yu, A Gupta, D Shah, K Hartikainen, A Singh, V Kumar, S Levine arXiv preprint arXiv:2004.12570, 2020	199	2020
Robel: Robotics benchmarks for learning with low-cost robots M Ahn, H Zhu, K Hartikainen, H Ponte, A Gupta, S Levine, V Kumar Conference on robot learning, 1300-1313, 2020	137	2020
Learning to be fair: A consequentialist approach to equitable decision-making A Chohlas-Wood, M Coots, H Zhu, E Brunskill, S Goel arXiv preprint arXiv:2109.08792, 2021	31	2021
Minimax-Regret Sample Selection in Randomized Experiments Y Hu, H Zhu, E Brunskill, S Wager arXiv preprint arXiv:2403.01386, 2024	1	2024

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