Zuxin Liu
Title
Cited by
Cited by
Year
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
1912018
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
152020
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
82019
Task-agnostic online reinforcement learning with an infinite mixture of gaussian processes
M Xu, W Ding, J Zhu, Z Liu, B Chen, D Zhao
arXiv preprint arXiv:2006.11441, 2020
72020
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method
Z Liu, H Zhou, B Chen, S Zhong, M Hebert, D Zhao
arXiv preprint arXiv:2010.07968, 2020
42020
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
42020
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
32021
Delay-aware multi-agent reinforcement learning
B Chen, M Xu, Z Liu, L Li, D Zhao
arXiv preprint arXiv:2005.05441, 2020
32020
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles
S Chitlangia, Z Liu, A Agnihotri, D Zhao
arXiv preprint arXiv:2105.00373, 2021
2021
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