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 | 3270 | 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 | 257 | 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 | 206 | 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 | 147 | 2020 |
Learning to Be Fair: A Consequentialist Approach to Equitable Decision Making A Chohlas-Wood, M Coots, H Zhu, E Brunskill, S Goel Management Science, 2024 | 31 | 2024 |
Minimax-Regret Sample Selection in Randomized Experiments Y Hu, H Zhu, E Brunskil, S Wager Proceedings of the 25th ACM Conference on Economics and Computation, 1209-1235, 2024 | 2 | 2024 |