| Adversarial attacks on neural network policies S Huang, N Papernot, I Goodfellow, Y Duan, P Abbeel arXiv preprint arXiv:1702.02284, 2017 | 1070 | 2017 |
| Enabling robots to communicate their objectives SH Huang, D Held, P Abbeel, AD Dragan Robotics: Science and Systems (RSS), 2017 | 189 | 2017 |
| Expressing robot incapability M Kwon, SH Huang, AD Dragan Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018 | 157 | 2018 |
| 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 | 146 | 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 | 136 | 2014 |
| 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 | 129 | 2024 |
| A Distributional View on Multi-Objective Policy Optimization A Abdolmaleki, SH Huang, L Hasenclever, M Neunert, HF Song, ... International Conference on Machine Learning, 2020 | 90 | 2020 |
| Attacking machine learning with adversarial examples I Goodfellow, N Papernot, S Huang, Y Duan, P Abbeel, J Clark OpenAI Blog 24 (1), 2017 | 87 | 2017 |
| 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 | 61 | 2013 |
| 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 | 57 | 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 | 53 | 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 | 46 | 2014 |
| 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 | 27 | 2022 |
| 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 |
| 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 | 22 | 2020 |
| Adversarial attacks on neural network policies. arXiv 2017 S Huang, N Papernot, I Goodfellow, Y Duan, P Abbeel arXiv preprint arXiv:1702.02284, 2017 | 22 | 2017 |
| Nonverbal robot feedback for human teachers SH Huang, I Huang, R Pandya, AD Dragan arXiv preprint arXiv:1911.02320, 2019 | 19 | 2019 |
| 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 | 15 | 2022 |
| Coherent soft imitation learning J Watson, S Huang, N Heess Advances in Neural Information Processing Systems 36, 14540-14583, 2023 | 10 | 2023 |
| Explaining robot policies O Watkins, S Huang, J Frost, K Bhatia, E Weiner, P Abbeel, T Darrell, ... Applied AI Letters 2 (4), e52, 2021 | 10 | 2021 |
