Zuxin Liu
Orcid: 0000-0001-7412-5074
According to our database1,
Zuxin Liu
authored at least 34 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving.
IEEE Robotics Autom. Lett., May, 2024
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
CoRR, 2024
CoRR, 2024
CoRR, 2024
2023
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving.
CoRR, 2023
CoRR, 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments.
IROS, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Conference on Robot Learning, 2022
2021
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles.
CoRR, 2021
CoRR, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018