Goal-Conditioned Reinforcement Learning: Problems and Solutions M Liu, M Zhu, W Zhang IJCAI-ECAI 2022 (Survey Track), 2022 | 111 | 2022 |
Energy-Based Imitation Learning M Liu, T He, M Xu, W Zhang AAMAS 2021, 2020 | 48 | 2020 |
Vision-Language Foundation Models as Effective Robot Imitators X Li*, M Liu*, H Zhang, C Yu, J Xu, H Wu, C Cheang, Y Jing, W Zhang, ... ICLR 2024, 2023 | 29 | 2023 |
Curriculum Offline Imitation Learning M Liu*, H Zhao*, Z Yang, J Shen, W Zhang, L Zhao, TY Liu NeurIPS 2021, 2021 | 28 | 2021 |
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks M Zhu*, M Liu*, J Shen, Z Zhang, S Chen, W Zhang, D Ye, Y Yu, Q Fu, ... IJCAI 2021, 2021 | 23 | 2021 |
PerfectDou: Dominating DouDizhu with Perfect Information Distillation G Yang*, M Liu*, W Hong, W Zhang, F Fang, G Zeng, Y Lin NeurIPS 2022, 2022 | 22 | 2022 |
Multi-Agent Interactions Modeling with Correlated Policies M Liu, M Zhou, W Zhang, Y Zhuang, J Wang, W Liu, Y Yu ICLR 2020, 2020 | 22 | 2020 |
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation H Wu, Y Jing, C Cheang, G Chen, J Xu, X Li, M Liu, H Li, T Kong ICLR 2024, 2023 | 14 | 2023 |
MADiff: Offline Multi-agent Learning with Diffusion Models Z Zhu*, M Liu*, L Mao, B Kang, M Xu, Y Yu, S Ermon, W Zhang arXiv preprint arXiv:2305.17330, 2023 | 13 | 2023 |
Reinforcement Learning with Automated Auxiliary Loss Search T He, Y Zhang, K Ren, M Liu, C Wang, W Zhang, Y Yang, D Li NeurIPS 2022, 2022 | 13 | 2022 |
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Z Yang, K Ren, X Luo, M Liu, W Liu, J Bian, W Zhang, D Li IJCAI-ECAI 2022, 2022 | 13 | 2022 |
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization M Liu, Z Zhu, Y Zhuang, W Zhang, J Hao, Y Yu, J Wang ICML 2022, 2022 | 9* | 2022 |
Learning to Build High-fidelity and Robust Environment Models W Zhang, Z Yang, J Shen, M Liu, Y Huang, X Zhang, R Tang, Z Li ECML-PKDD 2021, 2021 | 9 | 2021 |
Visual Imitation Learning with Patch Rewards M Liu, T He, W Zhang, YAN Shuicheng, Z Xu ICLR 2023, 2023 | 7 | 2023 |
Generative adversarial exploration for reinforcement learning W Hong, M Zhu, M Liu, W Zhang, M Zhou, Y Yu, P Sun DAI 2019, 2019 | 7 | 2019 |
Visual whole-body control for legged loco-manipulation M Liu, Z Chen, X Cheng, Y Ji, R Yang, X Wang arXiv preprint arXiv:2403.16967, 2024 | 5 | 2024 |
Automatic proofreading in chinese: detect and correct spelling errors in character-level with deep neural networks Q Wang, M Liu, W Zhang, Y Guo, T Li NLPCC 2019, 349-359, 2019 | 5 | 2019 |
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow Z Zhu, S Zhang, Y Zhuang, Y Liu, M Liu, Z Gong, S Kai, Q Gu, B Wang, ... The Fifth International Conference on Distributed Artificial Intelligence, 1-10, 2023 | 2* | 2023 |
Is Risk-Sensitive Reinforcement Learning Properly Resolved? R Zhou, M Liu, K Ren, X Luo, W Zhang, D Li arXiv preprint arXiv:2307.00547, 2023 | 2 | 2023 |
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem J Chen, Z Gong, M Liu, J Wang, Y Yu, W Zhang arXiv preprint arXiv:2403.05318, 2024 | 1 | 2024 |