| Adversarial attacks on neural network policies S Huang, N Papernot, I Goodfellow, Y Duan, P Abbeel arXiv preprint arXiv:1702.02284, 2017 | 985 | 2017 |
| Enabling robots to communicate their objectives SH Huang, D Held, P Abbeel, AD Dragan Robotics: Science and Systems (RSS), 2017 | 172 | 2017 |
| Expressing robot incapability M Kwon, SH Huang, AD Dragan Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018 | 142 | 2018 |
| Toward personalizing treatment for depression: predicting diagnosis and severity SH Huang, P LePendu, SV Iyer, M Tai-Seale, D Carrell, NH Shah Journal of the American Medical Informatics Association 21 (6), 1069-1075, 2014 | 137 | 2014 |
| Establishing appropriate trust via critical states SH Huang, K Bhatia, P Abbeel, AD Dragan 2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018 | 130 | 2018 |
| Attacking machine learning with adversarial examples I Goodfellow, N Papernot, S Huang, Y Duan, P Abbeel, J Clark OpenAI Blog 24, 1, 2017 | 80 | 2017 |
| A Distributional View on Multi-Objective Policy Optimization A Abdolmaleki, SH Huang, L Hasenclever, M Neunert, HF Song, ... International Conference on Machine Learning, 2020 | 77 | 2020 |
| Nifty: a system for large scale information flow tracking and clustering C Suen, S Huang, C Eksombatchai, R Sosic, J Leskovec Proceedings of the 22nd international conference on World Wide Web, 1237-1248, 2013 | 60 | 2013 |
| Learning agile soccer skills for a bipedal robot with deep reinforcement learning T Haarnoja, B Moran, G Lever, SH Huang, D Tirumala, J Humplik, ... Science Robotics 9 (89), eadi8022, 2024 | 58 | 2024 |
| Learning gentle object manipulation with curiosity-driven deep reinforcement learning SH Huang, M Zambelli, J Kay, MF Martins, Y Tassa, PM Pilarski, ... arXiv preprint arXiv:1903.08542, 2019 | 52 | 2019 |
| Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects SH Huang, J Pan, G Mulcaire, P Abbeel 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 49 | 2015 |
| Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects AX Lee, SH Huang, D Hadfield-Menell, E Tzeng, P Abbeel 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 41 | 2014 |
| On multi-objective policy optimization as a tool for reinforcement learning: Case studies in offline RL and finetuning A Abdolmaleki, SH Huang, G Vezzani, B Shahriari, JT Springenberg, ... arXiv preprint arXiv:2106.08199, 2021 | 23 | 2021 |
| A constrained multi-objective reinforcement learning framework S Huang, A Abdolmaleki, G Vezzani, P Brakel, DJ Mankowitz, M Neunert, ... Conference on Robot Learning, 883-893, 2022 | 22 | 2022 |
| Adversarial attacks on neural network policies. arXiv 2017 S Huang, N Papernot, I Goodfellow, Y Duan, P Abbeel arXiv preprint arXiv:1702.02284, 0 | 22 | |
| Exploring exploration: Comparing children with rl agents in unified environments E Kosoy, J Collins, DM Chan, S Huang, D Pathak, P Agrawal, J Canny, ... arXiv preprint arXiv:2005.02880, 2020 | 21 | 2020 |
| Nonverbal robot feedback for human teachers SH Huang, I Huang, R Pandya, AD Dragan arXiv preprint arXiv:1911.02320, 2019 | 16 | 2019 |
| Human-AI learning performance in multi-armed bandits R Pandya, SH Huang, D Hadfield-Menell, AD Dragan Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 369-375, 2019 | 8 | 2019 |
| Beyond lowest-warping cost action selection in trajectory transfer D Hadfield-Menell, AX Lee, C Finn, E Tzeng, S Huang, P Abbeel 2015 IEEE International Conference on Robotics and Automation (ICRA), 3231-3238, 2015 | 8 | 2015 |
| Towards understanding how machines can learn causal overhypotheses E Kosoy, DM Chan, A Liu, J Collins, B Kaufmann, SH Huang, JB Hamrick, ... arXiv preprint arXiv:2206.08353, 2022 | 6 | 2022 |
