Sandy H Huang
Sandy H Huang
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Adversarial attacks on neural network policies
S Huang, N Papernot, I Goodfellow, Y Duan, P Abbeel
arXiv preprint arXiv:1702.02284, 2017
Enabling robots to communicate their objectives
SH Huang, D Held, P Abbeel, AD Dragan
Robotics: Science and Systems (RSS), 2017
Expressing robot incapability
M Kwon, SH Huang, AD Dragan
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 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
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
Attacking machine learning with adversarial examples
I Goodfellow, N Papernot, S Huang, Y Duan, P Abbeel, J Clark
OpenAI Blog 24, 1, 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
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
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
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
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
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
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
Adversarial attacks on neural network policies. arXiv 2017
S Huang, N Papernot, I Goodfellow, Y Duan, P Abbeel
arXiv preprint arXiv:1702.02284, 0
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
Nonverbal robot feedback for human teachers
SH Huang, I Huang, R Pandya, AD Dragan
arXiv preprint arXiv:1911.02320, 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
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
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
Learning causal overhypotheses through exploration in children and computational models
E Kosoy, A Liu, JL Collins, D Chan, JB Hamrick, NR Ke, S Huang, ...
Conference on Causal Learning and Reasoning, 390-406, 2022
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