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Zuxin Liu
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DS-SLAM: A semantic visual SLAM towards dynamic environments
C Yu, Z Liu, XJ Liu, F Xie, Y Yang, Q Wei, Q Fei
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
7802018
Mapper: Multi-agent path planning with evolutionary reinforcement learning in mixed dynamic environments
Z Liu, B Chen, H Zhou, G Koushik, M Hebert, D Zhao
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
842020
Constrained variational policy optimization for safe reinforcement learning
Z Liu, Z Cen, V Isenbaev, W Liu, S Wu, B Li, D Zhao
International Conference on Machine Learning, 13644-13668, 2022
642022
Investigating the impact of multi-lidar placement on object detection for autonomous driving
H Hu, Z Liu, S Chitlangia, A Agnihotri, D Zhao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
452022
Trustworthy reinforcement learning against intrinsic vulnerabilities: Robustness, safety, and generalizability
M Xu, Z Liu, P Huang, W Ding, Z Cen, B Li, D Zhao
arXiv preprint arXiv:2209.08025, 2022
412022
Safe model-based reinforcement learning with robust cross-entropy method
Z Liu, H Zhou, B Chen, S Zhong, M Hebert, D Zhao
ICLR 2021 Workshop on Security and Safety in Machine Learning Systems, 2021
36*2021
Task-agnostic online reinforcement learning with an infinite mixture of gaussian processes
M Xu, W Ding, J Zhu, Z Liu, B Chen, D Zhao
Advances in Neural Information Processing Systems 33, 6429-6440, 2020
362020
Context-aware safe reinforcement learning for non-stationary environments
B Chen, Z Liu, J Zhu, M Xu, W Ding, L Li, D Zhao
2021 IEEE International Conference on Robotics and Automation (ICRA), 10689 …, 2021
352021
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
C Xu, W Ding, W Lyu, Z Liu, S Wang, Y He, H Hu, D Zhao, B Li
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
342022
Constrained decision transformer for offline safe reinforcement learning
Z Liu, Z Guo, Y Yao, Z Cen, W Yu, T Zhang, D Zhao
International Conference on Machine Learning, 21611-21630, 2023
312023
Where should we place lidars on the autonomous vehicle?-an optimal design approach
Z Liu, M Arief, D Zhao
2019 International Conference on Robotics and Automation (ICRA), 2793-2799, 2019
292019
Delay-aware multi-agent reinforcement learning for cooperative and competitive environments
B Chen, M Xu, Z Liu, L Li, D Zhao
arXiv preprint arXiv:2005.05441, 2020
252020
Sane: smart annotation and evaluation tools for point cloud data
HA Arief, M Arief, G Zhang, Z Liu, M Bhat, UG Indahl, H Tveite, D Zhao
IEEE Access 8, 131848-131858, 2020
232020
On the robustness of safe reinforcement learning under observational perturbations
Z Liu, Z Guo, Z Cen, H Zhang, J Tan, B Li, D Zhao
The 11th International Conference on Learning Representations (ICLR 2023), 2023
202023
Seasondepth: Cross-season monocular depth prediction dataset and benchmark under multiple environments
H Hu, B Yang, Z Qiao, S Liu, J Zhu, Z Liu, W Ding, D Zhao, H Wang
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
182023
Datasets and benchmarks for offline safe reinforcement learning
Z Liu, Z Guo, H Lin, Y Yao, J Zhu, Z Cen, H Hu, W Yu, T Zhang, J Tan, ...
arXiv preprint arXiv:2306.09303, 2023
182023
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
H Hu, Z Liu, L Li, J Zhu, D Zhao
6th Annual Conference on Robot Learning, 2022
62022
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Z Liu, J Zhang, K Asadi, Y Liu, D Zhao, S Sabach, R Fakoor
The 12th International Conference on Learning Representations (ICLR 2024), 2024
42024
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Y Yao*, Z Liu*, Z Cen, J Zhu, W Yu, T Zhang, D Zhao
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
42023
Learning Shared Safety Constraints from Multi-task Demonstrations
K Kim, G Swamy, Z Liu, D Zhao, S Choudhury, ZS Wu
Advances in Neural Information Processing Systems (NeurIPS 2023), 2023
42023
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