| Mildly conservative q-learning for offline reinforcement learning J Lyu, X Ma, X Li, Z Lu Advances in Neural Information Processing Systems 35, 1711-1724, 2022 | 126 | 2022 |
| DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learning X Ma, L Xia, Z Zhou, J Yang, Q Zhao Reinforcement Learning for Real Life Workshop at ICML 2019, 0 | 122* | |
| Believe what you see: Implicit constraint approach for offline multi-agent reinforcement learning Y Yang, X Ma, C Li, Z Zheng, Q Zhang, G Huang, J Yang, Q Zhao Advances in Neural Information Processing Systems 34, 10299-10312, 2021 | 90 | 2021 |
| Rorl: Robust offline reinforcement learning via conservative smoothing R Yang, C Bai, X Ma, Z Wang, C Zhang, L Han Advances in neural information processing systems 35, 23851-23866, 2022 | 85 | 2022 |
| Efficient continuous control with double actors and regularized critics J Lyu, X Ma, J Yan, X Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7655-7663, 2022 | 59 | 2022 |
| Air-combat strategy using deep Q-learning X Ma, L Xia, Q Zhao 2018 Chinese automation congress (CAC), 3952-3957, 2018 | 55 | 2018 |
| Offline reinforcement learning with value-based episodic memory X Ma, Y Yang, H Hu, Q Liu, J Yang, C Zhang, Q Zhao, B Liang arXiv preprint arXiv:2110.09796, 2021 | 47 | 2021 |
| Exploit reward shifting in value-based deep-rl: Optimistic curiosity-based exploration and conservative exploitation via linear reward shaping H Sun, L Han, R Yang, X Ma, J Guo, B Zhou Advances in neural information processing systems 35, 37719-37734, 2022 | 40* | 2022 |
| Distributionally robust offline reinforcement learning with linear function approximation X Ma, Z Liang, J Blanchet, M Liu, L Xia, J Zhang, Q Zhao, Z Zhou arXiv preprint arXiv:2209.06620, 2022 | 36 | 2022 |
| Fairness control of traffic light via deep reinforcement learning C Li, X Ma, L Xia, Q Zhao, J Yang 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 25 | 2020 |
| Modeling the interaction between agents in cooperative multi-agent reinforcement learning X Ma, Y Yang, C Li, Y Lu, Q Zhao, Y Jun arXiv preprint arXiv:2102.06042, 2021 | 23 | 2021 |
| What is essential for unseen goal generalization of offline goal-conditioned rl? R Yang, L Yong, X Ma, H Hu, C Zhang, T Zhang International Conference on Machine Learning, 39543-39571, 2023 | 21 | 2023 |
| Average-reward reinforcement learning with trust region methods X Ma, X Tang, L Xia, J Yang, Q Zhao arXiv preprint arXiv:2106.03442, 2021 | 19 | 2021 |
| Wasserstein distance guided adversarial imitation learning with reward shape exploration M Zhang, Y Wang, X Ma, L Xia, J Yang, Z Li, X Li 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS …, 2020 | 19 | 2020 |
| MPSN: Motion-aware Pseudo-Siamese Network for indoor video head detection in buildings K Sun, X Ma, P Liu, Q Zhao Building and Environment 222, 109354, 2022 | 14 | 2022 |
| Cross-domain policy adaptation via value-guided data filtering K Xu, C Bai, X Ma, D Wang, B Zhao, Z Wang, X Li, W Li Advances in Neural Information Processing Systems 36, 73395-73421, 2023 | 13 | 2023 |
| Single-trajectory distributionally robust reinforcement learning Z Liang, X Ma, J Blanchet, J Zhang, Z Zhou arXiv preprint arXiv:2301.11721, 2023 | 13 | 2023 |
| Uncertainty-driven trajectory truncation for model-based offline reinforcement learning J Zhang, J Lyu, X Ma, J Yan, J Yang, L Wan, X Li arXiv preprint arXiv:2304.04660, 2023 | 12 | 2023 |
| Attendance and security system based on building video surveillance K Sun, Q Zhao, J Zou, X Ma Advancements in Smart City and Intelligent Building: Proceedings of the …, 2019 | 12 | 2019 |
| CVaR-Constrained Policy Optimization for Safe Reinforcement Learning Q Zhang, S Leng, X Ma, Q Liu, X Wang, B Liang, Y Liu, J Yang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 11 | 2024 |
Qianchuan ZhaoCenter for Intelligent and Networked Systems, Dept. Automation, Tsinghua University, Beijing, China在 tsinghua.edu.cn 的电子邮件经过验证
