Yihang Yao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Conditional Distribution

Captured Images

Reinforcement Learning

Benchmark Suite

Top Venues

Publications

Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
Learning from Sparse Offline Datasets via Conservative Density Estimation. ICLR (2024)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
Gradient shaping for multi-constraint safe reinforcement learning. L4DC (2024)
Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao
Feasibility Consistent Representation Learning for Safe Reinforcement Learning. CoRR (2024)
Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
Learning from Sparse Offline Datasets via Conservative Density Estimation. CoRR (2024)
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR (2024)
Liang Gong, Zhiyu Yang, Yihang Yao, Binhao Chen, Wenjie Wang, Xiaofeng Du, Yidong He, Chengliang Liu
An Integrated in Situ Image Acquisition and Annotation Scheme for Instance Segmentation Models in Open Scenes With a Human-Robot Interaction Approach. IEEE Trans. Hum. Mach. Syst. 53 (5) (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning. CoRR (2023)
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constrained Decision Transformer for Offline Safe Reinforcement Learning. CoRR (2023)
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constrained Decision Transformer for Offline Safe Reinforcement Learning. ICML (2023)
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR (2023)
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. ICML (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR (2023)
Yihang Yao, Tianhao Wei, Changliu Liu
Safe Control of Arbitrary Nonlinear Systems using Dynamic Extension. CoRR (2021)