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2020 – today
- 2023
[c13]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao:
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. ICLR 2023- [c12]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao:
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. ICML 2023: 21586-21610 - [c11]Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constrained Decision Transformer for Offline Safe Reinforcement Learning. ICML 2023: 21611-21630 - [i17]Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
:
Constrained Decision Transformer for Offline Safe Reinforcement Learning. CoRR abs/2302.07351 (2023) - [i16]Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR abs/2306.09303 (2023) - [i15]Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR abs/2309.00711 (2023) - [i14]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR abs/2309.13150 (2023) - 2022
- [c10]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL 2022: 1309-1320 - [c9]Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao:
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. CVPR 2022: 2540-2549 - [c8]Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao:
Constrained Variational Policy Optimization for Safe Reinforcement Learning. ICML 2022: 13644-13668 - [c7]Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li:
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. NeurIPS 2022 - [i13]Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao:
Constrained Variational Policy Optimization for Safe Reinforcement Learning. CoRR abs/2201.11927 (2022) - [i12]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao:
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. CoRR abs/2205.14691 (2022) - [i11]Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li:
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. CoRR abs/2206.09682 (2022) - [i10]Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao:
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability. CoRR abs/2209.08025 (2022) - [i9]Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao:
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR abs/2210.04625 (2022) - 2021
- [c6]Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. ICRA 2021: 10689-10695 - [i8]Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. CoRR abs/2101.00531 (2021) - [i7]Sharad Chitlangia, Zuxin Liu, Akhil Agnihotri, Ding Zhao:
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. CoRR abs/2105.00373 (2021) - 2020
- [j1]Hasan Asy'ari Arief, Mansur Arief, Guilin Zhang, Zuxin Liu, Manoj Bhat, Ulf Geir Indahl, Håvard Tveite, Ding Zhao:
SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data. IEEE Access 8: 131848-131858 (2020) - [c5]Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. IROS 2020: 11748-11754 - [c4]Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao:
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. NeurIPS 2020 - [i6]Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao:
Delay-Aware Multi-Agent Reinforcement Learning. CoRR abs/2005.05441 (2020) - [i5]Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao:
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes. CoRR abs/2006.11441 (2020) - [i4]Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert, Ding Zhao:
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments. CoRR abs/2007.15724 (2020) - [i3]Zuxin Liu, Hongyi Zhou, Baiming Chen, Sicheng Zhong, Martial Hebert, Ding Zhao:
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method. CoRR abs/2010.07968 (2020)
2010 – 2019
- 2019
- [c3]Zuxin Liu, Mansur Arief, Ding Zhao:
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. ICRA 2019: 2793-2799 - [c2]Chao Yu, Zuxin Liu, Xin-Jun Liu, Fei Qiao, Yu Wang, Fugui Xie, Qi Wei, Yi Yang:
A DenseNet feature-based loop closure method for visual SLAM system. ROBIO 2019: 258-265 - 2018
- [c1]Chao Yu, Zuxin Liu, Xin-Jun Liu, Fugui Xie, Yi Yang, Qi Wei, Fei Qiao:
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments. IROS 2018: 1168-1174 - [i2]Zuxin Liu, Mansur Arief, Ding Zhao:
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. CoRR abs/1809.05845 (2018) - [i1]Chao Yu, Zuxin Liu, Xinjun Liu, Fugui Xie, Yi Yang, Qi Wei, Fei Qiao:
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments. CoRR abs/1809.08379 (2018)
Coauthor Index
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last updated on 2023-09-28 02:56 CEST by the dblp team
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