Peide Huang

发表

Latent Goal Allocation for Multi-Agent Goal-Conditioned Self-Supervised Imitation Learning

Rui Chen, Peide Huang, Laixi Shi, 2021 .

Optimize Robots Physical Design by Parameterization in Deep Reinforcement Learning

Peide Huang, 2019 .

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

Ding Zhao, Peide Huang, Mengdi Xu, 2022, IJCAI.

Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability

Wenhao Ding, Ding Zhao, Peide Huang, 2022, ArXiv.

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables

Bo Li, H. Lam, Visak C. V. Kumar, 2022, AISTATS.

Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling

H. Lam, Fengpei Li, Ding Zhao, 2021, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

Ding Zhao, Peide Huang, Laixi Shi, 2022, NeurIPS.

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging

Ding Zhao, Byung-Hak Kim, Peide Huang, 2023, ArXiv.

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation

Ding Zhao, Peide Huang, Jiacheng Zhu, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling pdf

Ding Zhao, Henry Lam, Xuewei Qi, 2021, ArXiv.

Creative Robot Tool Use with Large Language Models

Peide Huang, Mengdi Xu, Jie Tan, 2023, ArXiv.

Coalitional Fairness of Autonomous Vehicles at a T-Intersection

Corey D. Harper, Peide Huang, Ding Zhao, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Gradient Shaping for Multi-Constraint Safe Reinforcement Learning

Peide Huang, Zuxin Liu, Zhepeng Cen, 2023, ArXiv.