| 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 | 51 | 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 | 41 | 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 | 38 | 2023 |
| 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 | 34 | 2022 |
| 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 | 24 | 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 | 18* | 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 | 18* | 2021 |
| 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 | 12 | 2022 |
| 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 | 9 | 2023 |
| 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 | 5 | 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 | 5 | 2023 |
| CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories P Huang, W Ding, J Francis, B Chen, D Zhao 2025 IEEE International Conference on Robotics and Automation (ICRA), 2024 | 3 | 2024 |
| 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 | 3 | 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 | 2 | 2022 |
| EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning P Huang, Y Hu, N Nechyporenko, D Kim, W Talbott, J Zhang arXiv preprint arXiv:2410.23234, 2024 | 1 | 2024 |
| ELEGNT: Expressive and Functional Movement Design for Non-anthropomorphic Robot Y Hu, P Huang, M Sivapurapu, J Zhang arXiv preprint arXiv:2501.12493, 2025 | | 2025 |
| Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications X Zhang, S Liu, P Huang, WJ Han, Y Lyu, M Xu, D Zhao IEEE Robotics and Automation Letters (RA-L), 2024 | | 2024 |
| Co-Evolving Environments and Agents for Physical-World Deployments P Huang Carnegie Mellon University, 2024 | | 2024 |
Ding ZhaoCarnegie Mellon UniversityVerifisert e-postadresse på cmu.edu