Zhao, Weiye

12 publications

L4DC 2025 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

JAIR 2025 Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning Weiye Zhao, Feihan Li, Tairan He, Changliu Liu

L4DC 2025 Learn with Imagination: Safe Set Guided State-Wise Constrained Policy Optimization Yifan Sun, Feihan Li, Weiye Zhao, Rui Chen, Tianhao Wei, Changliu Liu

ICML 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

TMLR 2024 GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu

TMLR 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 Sample, Changliu Liu

CoRL 2024 Meta-Control: Automatic Model-Based Control Synthesis for Heterogeneous Robot Skills Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu

TMLR 2024 State-Wise Constrained Policy Optimization Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu

AAAI 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning Tairan He, Weiye Zhao, Changliu Liu

L4DC 2023 Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao, Tairan He, Changliu Liu

IJCAI 2023 State-Wise Safe Reinforcement Learning: A Survey Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu

CoRL 2021 Model-Free Safe Control for Zero-Violation Reinforcement Learning Weiye Zhao, Tairan He, Changliu Liu