Weiye Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Motion Prediction

Reinforcement Learning

Convex Optimization

Top Venues

Trans. Mach. Learn. Res.

IEEE Control. Syst. Lett.

Publications

Fukai Zhang, Lulu Zhang, Tiancheng He, Yiran Sun, Shan Zhao, Yanmei Zhang, Xueliang Zhao, Weiye Zhao
An overlap estimation guided feature metric approach for real point cloud registration. Comput. Graph. 119 (2024)
Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu
GUARD: A Safe Reinforcement Learning Benchmark. Trans. Mach. Learn. Res. 2024 (2024)
Weiye Zhao, Tairan He, Feihan Li, Changliu Liu
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR (2024)
Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR (2024)
Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRR (2024)
Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu
Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. Trans. Mach. Learn. Res. 2024 (2024)
Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu
State-wise Constrained Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024)
Zeyang Li, Chuxiong Hu, Weiye Zhao, Changliu Liu
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set. CoRR (2023)
Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
State-wise Safe Reinforcement Learning: A Survey. CoRR (2023)
Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. CoRR (2023)
Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
GUARD: A Safe Reinforcement Learning Benchmark. CoRR (2023)
Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu
Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming. IEEE Control. Syst. Lett. 7 (2023)
Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu
Absolute Policy Optimization. CoRR (2023)
Tairan He, Weiye Zhao, Changliu Liu
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI (2023)
Yifan Sun, Weiye Zhao, Changliu Liu
Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment. CoRR (2023)
Weiye Zhao, Tairan He, Changliu Liu
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC (2023)
Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
Safety Index Synthesis via Sum-of-Squares Programming. ACC (2023)
Tairan He, Weiye Zhao, Changliu Liu
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR (2023)
Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu
State-wise Constrained Policy Optimization. CoRR (2023)
Rui Chen, Weiye Zhao, Changliu Liu
Safety Index Synthesis with State-dependent Control Space. CoRR (2023)
Suqin He, Weiye Zhao, Chuxiong Hu, Yu Zhu, Changliu Liu
A hierarchical long short term safety framework for efficient robot manipulation under uncertainty. Robotics Comput. Integr. Manuf. 82 (2023)
Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
State-wise Safe Reinforcement Learning: A Survey. IJCAI (2023)
Weiye Zhao, Tairan He, Changliu Liu
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR (2022)
Weiye Zhao, Suqin He, Changliu Liu
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. IEEE Control. Syst. Lett. 6 (2022)
Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
Safety Index Synthesis via Sum-of-Squares Programming. CoRR (2022)
Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu
Robust Safe Control for Uncertain Dynamic Models. CoRR (2022)
Weiye Zhao, Suqin He, Changliu Liu
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. CoRR (2021)
Weiye Zhao, Tairan He, Changliu Liu
Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL (2021)
Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu
Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. CoRR (2020)
Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka
Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration. ACC (2020)
Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka
Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration. CoRR (2020)
Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka
Human Motion Prediction using Semi-adaptable Neural Networks. ACC (2019)
Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka
Human Motion Prediction using Adaptable Neural Networks. CoRR (2018)