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2020 – today
- 2024
[j7]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: 103883 (2024)- [j6]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) - [j5]Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu:
State-wise Constrained Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [j4]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) - [c11]Rui Chen, Weiye Zhao, Changliu Liu:
Safety Index Synthesis with State-Dependent Control Space. ACC 2024: 937-942 - [c10]Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu:
Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. ACC 2024: 3531-3536 - [c9]Yifan Sun, Weiye Zhao, Changliu Liu:
Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments. ACC 2024: 3847-3852 - [c8]Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu:
Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. ICML 2024 - [i21]Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu:
Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR abs/2403.14968 (2024) - [i20]Weiye Zhao, Tairan He, Feihan Li, Changliu Liu:
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR abs/2405.02754 (2024) - [i19]Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu:
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRR abs/2405.11380 (2024) - [i18]Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu:
Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning. CoRR abs/2408.10162 (2024) - [i17]Abulikemu Abuduweili, Alice Wu, Tianhao Wei, Weiye Zhao:
WeHelp: A Shared Autonomy System for Wheelchair Users. CoRR abs/2409.12159 (2024) - [i16]Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu:
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. CoRR abs/2410.01212 (2024) - 2023
- [j3]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: 1213-1218 (2023) - [j2]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: 102522 (2023) - [c7]Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI 2023: 14847-14855 - [c6]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. ACC 2023: 732-737 - [c5]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. IJCAI 2023: 6814-6822 - [c4]Weiye Zhao, Tairan He, Changliu Liu:
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC 2023: 783-796 - [i15]Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR abs/2301.10339 (2023) - [i14]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. CoRR abs/2302.03122 (2023) - [i13]Yifan Sun, Weiye Zhao, Changliu Liu:
Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment. CoRR abs/2304.09260 (2023) - [i12]Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu:
GUARD: A Safe Reinforcement Learning Benchmark. CoRR abs/2305.13681 (2023) - [i11]Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu:
State-wise Constrained Policy Optimization. CoRR abs/2306.12594 (2023) - [i10]Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu:
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. CoRR abs/2308.13140 (2023) - [i9]Rui Chen, Weiye Zhao, Changliu Liu:
Safety Index Synthesis with State-dependent Control Space. CoRR abs/2309.12406 (2023) - [i8]Zeyang Li, Chuxiong Hu, Weiye Zhao, Changliu Liu:
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set. CoRR abs/2311.06769 (2023) - 2022
- [j1]Weiye Zhao, Suqin He, Changliu Liu:
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. IEEE Control. Syst. Lett. 6: 3439-3444 (2022) - [i7]Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu:
Robust Safe Control for Uncertain Dynamic Models. CoRR abs/2209.06896 (2022) - [i6]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. CoRR abs/2209.09134 (2022) - [i5]Weiye Zhao, Tairan He, Changliu Liu:
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR abs/2210.01041 (2022) - 2021
- [c3]Weiye Zhao, Tairan He, Changliu Liu:
Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL 2021: 784-793 - [i4]Weiye Zhao, Suqin He, Changliu Liu:
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. CoRR abs/2104.08896 (2021) - 2020
- [c2]Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration. ACC 2020: 4349-4354 - [i3]Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration. CoRR abs/2001.09550 (2020) - [i2]Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu:
Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. CoRR abs/2008.03826 (2020)
2010 – 2019
- 2019
- [c1]Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Semi-adaptable Neural Networks. ACC 2019: 4884-4890 - 2018
- [i1]Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Adaptable Neural Networks. CoRR abs/1810.00781 (2018)
Coauthor Index
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