Peide Huang
Peide Huang
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Zitiert von
Zitiert von
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
M Xu, Z Liu, P Huang, W Ding, Z Cen, B Li, D Zhao
arXiv preprint arXiv:2209.08025, 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
P Huang, M Xu, F Fang, D Zhao
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
P Huang, M Xu, J Zhu, L Shi, F Fang, D Zhao
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
Creative Robot Tool Use with Large Language Models
M Xu, P Huang, W Yu, S Liu, X Zhang, Y Niu, T Zhang, F Xia, J Tan, ...
arXiv preprint arXiv:2310.13065, 2023
Cardiac Disease Diagnosis On Imbalanced Electrocardiography Data Through Optimal Transport Augmentation
J Qiu, J Zhu, M Xu, P Huang, M Rosenberg, D Weber, E Liu, D Zhao
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
M Xu, P Huang, Y Niu, V Kumar, J Qiu, C Fang, KH Lee, X Qi, H Lam, B Li, ...
The 26th International Conference on Artificial Intelligence and Statistics, 2022
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling
M Xu, P Huang, F Li, J Zhu, X Qi, K Oguchi, Z Huang, H Lam, D Zhao
The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
What went wrong? closing the sim-to-real gap via differentiable causal discovery
P Huang, X Zhang, Z Cao, S Liu, M Xu, W Ding, J Francis, B Chen, ...
7th Annual Conference on Robot Learning, 2023
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
J Qiu, P Huang, M Nakashima, J Lee, J Zhu, W Tang, P Chen, C Nguyen, ...
arXiv preprint arXiv:2304.07675, 2023
Latent Goal Allocation for Multi-Agent Goal-Conditioned Self-Supervised Imitation Learning
P Huang, R Chen, L Shi
NeurIPS 2021 Bayesian Deep Learning Workshop, 2021
Coalitional Fairness of Autonomous Vehicles at a T-Intersection
D Gomez, H Lin, P Huang, C Harper, D Zhao
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
P Huang, W Ding, J Francis, B Chen, D Zhao
arXiv preprint arXiv:2403.13208, 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
Y Yao, Z Liu, Z Cen, P Huang, T Zhang, W Yu, D Zhao
6th Annual Learning for Dynamics & Control Conference (L4DC 2024), 2023
Continual Vision-based Reinforcement Learning with Group Symmetries
S Liu, M Xu, P Huang, X Zhang, Y Liu, K Oguchi, D Zhao
Conference on Robot Learning, 222-240, 2023
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