Weiye Zhao

According to our database, Weiye Zhao authored at least 32 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GUARD: A Safe Reinforcement Learning Benchmark.

Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu

Trans. Mach. Learn. Res., 2024

State-wise Constrained Policy Optimization.

Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu

Trans. Mach. Learn. Res., 2024

Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability.

Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu

Trans. Mach. Learn. Res., 2024

Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots.

Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu

CoRR, 2024

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction.

Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu

CoRR, 2024

WeHelp: A Shared Autonomy System for Wheelchair Users.

Abulikemu Abuduweili, Alice Wu, Tianhao Wei, Weiye Zhao

CoRR, 2024

Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning.

Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu

CoRR, 2024

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills.

Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu

CoRR, 2024

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning.

Weiye Zhao, Tairan He, Feihan Li, Changliu Liu

CoRR, 2024

An overlap estimation guided feature metric approach for real point cloud registration.

Fukai Zhang, Lulu Zhang, Tiancheng He, Yiran Sun, Shan Zhao, Yanmei Zhang, Xueliang Zhao, Weiye Zhao

Comput. Graph., 2024

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence.

Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments.

Yifan Sun, Weiye Zhao, Changliu Liu

Proceedings of the American Control Conference, 2024

Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend.

Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu

Proceedings of the American Control Conference, 2024

Safety Index Synthesis with State-Dependent Control Space.

Rui Chen, Weiye Zhao, Changliu Liu

Proceedings of the American Control Conference, 2024

2023

A hierarchical long short term safety framework for efficient robot manipulation under uncertainty.

Suqin He, Weiye Zhao, Chuxiong Hu, Yu Zhu, Changliu Liu

Robotics Comput. Integr. Manuf., August, 2023

Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming.

Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu

IEEE Control. Syst. Lett., 2023

Learning Predictive Safety Filter via Decomposition of Robust Invariant Set.

Zeyang Li, Chuxiong Hu, Weiye Zhao, Changliu Liu

CoRR, 2023

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization.

Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu

CoRR, 2023

State-wise Constrained Policy Optimization.

Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu

CoRR, 2023

GUARD: A Safe Reinforcement Learning Benchmark.

Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu

CoRR, 2023

Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment.

Yifan Sun, Weiye Zhao, Changliu Liu

CoRR, 2023

Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models.

Weiye Zhao, Tairan He, Changliu Liu

Proceedings of the Learning for Dynamics and Control Conference, 2023

State-wise Safe Reinforcement Learning: A Survey.

Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Safety Index Synthesis via Sum-of-Squares Programming.

Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu

Proceedings of the American Control Conference, 2023

AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning.

Tairan He, Weiye Zhao, Changliu Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming.

Weiye Zhao, Suqin He, Changliu Liu

IEEE Control. Syst. Lett., 2022

Robust Safe Control for Uncertain Dynamic Models.

Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu

CoRR, 2022

2021

Model-free Safe Control for Zero-Violation Reinforcement Learning.

Weiye Zhao, Tairan He, Changliu Liu

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization.

Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu

CoRR, 2020

Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration.

Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka

Proceedings of the 2020 American Control Conference, 2020

2019

Human Motion Prediction using Semi-adaptable Neural Networks.

Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka

Proceedings of the 2019 American Control Conference, 2019

2018

Human Motion Prediction using Adaptable Neural Networks.

Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka

CoRR, 2018