| When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning H Niu, S Sharma, Y Qiu, M Li, G Zhou, J Hu, X Zhan 🧠🤖🌏 NeurIPS 2022 (Spotlight), 2022 | 75 | 2022 |
| Discriminator-Guided Model-Based Offline Imitation Learning W Zhang, H Xu, H Niu, P Cheng, M Li, H Zhang, G Zhou, X Zhan 🧠🤖 CoRL 2022, 2022 | 28 | 2022 |
| A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents H Niu, J Hu, G Zhou, X Zhan 🤖🌏 IJCAI 2024, 2024 | 23 | 2024 |
| DRL: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning H Niu, J Hu, Z Cui, Y Zhang 🧠🚗 CSAE 2021, 2021 | 22 | 2021 |
| Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction Q Song, RB Ming, J Hu, H Niu, M Gao 🚗 ITSC 2020, 2020 | 18 | 2020 |
| H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps H Niu, T Ji, B Liu, H Zhao, X Zhu, J Zheng, P Huang, G Zhou, J Hu, X Zhan 🧠🤖🌏 ICRA 2025, 2025 | 15 | 2025 |
| DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning J Li*, J Zheng*, Y Zheng*, L Mao, X Hu, S Cheng, H Niu, J Liu, Y Liu, J Liu, ... 🧠🤖🌏 ICML 2024, 2024 | 15 | 2024 |
| Skill Expansion and Composition in Parameter Space T Liu*, J Li*, Y Zheng, H Niu, Y Lan, X Xu, X Zhan 🧠🤖🌏 ICLR 2025, 2025 | 13 | 2025 |
| A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving G Wang*, H Niu*, D Zhu, J Hu, X Zhan, G Zhou 🧠🚗 ML4AD@NeurIPS 2022, 2022 | 13* | 2022 |
| (Re)H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning H Niu*, K Ren*, Y Xu, Z Yang, Y Lin, Y Zhang, J Hu 🧠🚗 IV 2023, 2023 | 12 | 2023 |
| xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing H Niu*, Q Chen*, T Liu, J Li, G Zhou, Y Zhang, J Hu, X Zhan 🤖🌏AAMAS 2026, 2024 | 6* | 2024 |
| Are Expressive Models Truly Necessary for Offline RL? G Wang*, H Niu*, J Li, L Jiang, J Hu, X Zhan 🧠🤖 AAAI 2025 (Oral), 2025 | 5 | 2025 |
| Continual Driving Policy Optimization with Closed-Loop Individualized Curricula H Niu*, Y Xu*, X Jiang, J Hu 🧠🚗 ICRA 2024, 2024 | 3 | 2024 |
| Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving H Niu*, Q Chen*, Y Li, Y Zhang, J Hu 🧠🚗 AOE/ML4AD@NeurIPS 2023, 2023 | 3 | 2023 |
| Tactical Decision Making for Emergency Vehicles Based on A Combinational Learning Method H Niu, J Hu, Z Cui, Y Zhang 🧠🚗CICTP 2021, 2021 | 2 | 2021 |
| PhysiAgent: An Embodied Agent Framework in Physical World Z Wang*, J Li*, J Zheng*, W Zhang, D Liu, Y Zheng, H Niu, J Yu, X Zhan 🤖 New in ML@ICML 2025, 2025 | 1 | 2025 |
| A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models Y Wang*, S Li*, H Niu, Z Huang, W Zhang, H Su 🧠🤖🌏arXiv preprint arXiv:2510.02538, 2025 | | 2025 |
| Efficient Robotic Policy Learning via Latent Space Backward Planning D Liu*, H Niu*, Z Wang, J Zheng, Y Zheng, Z Ou, J HU, J Li, X Zhan 🤖 ICML 2025, 2025 | | 2025 |
Jianming HUAssociate Professor of Department of Automation, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
