Huang, Peide

7 publications

L4DC 2024 Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao

CoRL 2023 Continual Vision-Based Reinforcement Learning with Group Symmetries Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao

NeurIPSW 2023 Creative Robot Tool Use with Large Language Models Mengdi Xu, Wenhao Yu, Peide Huang, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao

AISTATS 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao

CoRL 2023 What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao

NeurIPS 2022 Curriculum Reinforcement Learning Using Optimal Transport via Gradual Domain Adaptation Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

IJCAI 2022 Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao