| 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 | 991 | 2018 |
| 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 | 129 | 2020 |
| 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 | 93 | 2022 |
| 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 | 66 | 2023 |
| 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 | 60 | 2022 |
| 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 | 51 | 2022 |
| 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 | 49 | 2022 |
| 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 | 41 | 2023 |
| 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 | 41 | 2021 |
| 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 | 39 | 2023 |
| 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 | 39* | 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 | 39 | 2020 |
| 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 | 37 | 2019 |
| 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 | 36 | 2020 |
| 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 | 33 | 2020 |
| APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Z Liu, T Hoang, J Zhang, M Zhu, T Lan, S Kokane, J Tan, W Yao, Z Liu, ... arXiv preprint arXiv:2406.18518, 2024 | 25 | 2024 |
| AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System Z Liu, W Yao, J Zhang, L Yang, Z Liu, J Tan, PK Choubey, T Lan, J Wu, ... arXiv preprint arXiv:2402.15538, 2024 | 24 | 2024 |
| Agentohana: Design unified data and training pipeline for effective agent learning J Zhang, T Lan, R Murthy, Z Liu, W Yao, M Zhu, J Tan, T Hoang, Z Liu, ... arXiv preprint arXiv:2402.15506, 2024 | 22 | 2024 |
| 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 | 21 | 2023 |
| 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 | 17 | 2024 |
Jiacheng ZhuMITcsail.mit.edu의 이메일 확인됨