| 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) Advances in Neural Information Processing …, 2022 | 44 | 2022 |
| Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction Q Song, RB Ming, J Hu, H Niu, M Gao 🚗 (ITSC 2020) IEEE International Conference on Intelligent Transportation …, 2020 | 18 | 2020 |
| 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) 6th Annual Conference on Robot Learning, 2022 | 17 | 2022 |
| DRL: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning H Niu, J Hu, Z Cui, Y Zhang 🧠🚗 (CSAE 2021) 5th International Conference on Computer Science and …, 2021 | 15 | 2021 |
| A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving G Wang*, H Niu*, D Zhu, J Hu, X Zhan, G Zhou 🧠🚗Machine Learning for Autonomous Driving Workshop NeurIPS 2022, 2022 | 11* | 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) IEEE Intelligent Vehicles Symposium, 2023 | 7 | 2023 |
| 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) International Conference on Machine Learning, 2024 | 4 | 2024 |
| A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents H Niu, J Hu, G Zhou, X Zhan 🤖🌏 (IJCAI 2024) International Joint Conference on Artificial Intelligence, 2024 | 4 | 2024 |
| 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, ... 🧠🤖🌏 (ICRA 2025) IEEE International Conference on Robotics and Automation, 2025 | 3 | 2025 |
| Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving H Niu*, Q Chen*, Y Li, Y Zhang, J Hu 🧠🚗NeurIPS 2023 Symposium on Machine Learning for Autonomous Driving & Agent …, 2023 | 2 | 2023 |
| Tactical Decision Making for Emergency Vehicles Based on A Combinational Learning Method H Niu, J Hu, Z Cui, Y Zhang 🧠🚗CICTP 2021, 2557-2566, 2021 | 2 | 2021 |
| 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 🧠🤖🌏NeurIPS 2024 Workshop on Open-World Agents, 2024 | 1 | 2024 |
| Continual Driving Policy Optimization with Closed-Loop Individualized Curricula H Niu*, Y Xu*, X Jiang, J Hu 🧠🚗 (ICRA 2024) IEEE International Conference on Robotics and Automation, 2024 | 1 | 2024 |
| Are Expressive Models Truly Necessary for Offline RL? G Wang*, H Niu*, J Li, L Jiang, J Hu, X Zhan 🧠🤖 (AAAI 2025 Oral) The 39th Annual AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
Jianming HUAssociate Professor of Department of Automation, Tsinghua University確認したメール アドレス: mail.tsinghua.edu.cn