| Mildly conservative Q-learning for offline reinforcement learning J Lyu, X Ma, X Li, Z Lu NeurIPS 2022 (Spotlight), 2022 | 64 | 2022 |
| Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—A systemic review C Lu, J Lyu, L Zhang, A Gong, Y Fan, J Yan, X Li IEEE Access 8, 194315-194332, 2020 | 47 | 2020 |
| Efficient Continuous Control with Double Actors and Regularized Critics J Lyu, X Ma, J Yan, X Li In proceedings of 36th AAAI Conference on Artificial Intelligence (AAAI-22 oral), 2021 | 40 | 2021 |
| Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination J Lyu, X Li, Z Lu NeurIPS 2022 (Spotlight), 2022 | 14 | 2022 |
| Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning J Zhang, J Lyu, X Ma, J Yan, J Yang, L Wan, X Li ECAI 2023 (Oral); ICRA 2023 L-DOD Workshop, 2023 | 10 | 2023 |
| Bias-reduced multi-step hindsight experience replay for efficient multi-goal reinforcement learning R Yang, J Lyu, Y Yang, J Yan, F Luo, D Luo, L Li, X Li arXiv preprint arXiv:2102.12962, 2021 | 7* | 2021 |
| Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model K Yang, J Tao, J Lyu, C Ge, J Chen, Q Li, W Shen, X Zhu, X Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2023 | 5 | 2023 |
| State Advantage Weighting for Offline RL J Lyu, A Gong, L Wan, Z Lu, X Li ICLR2023 tiny paper; 3rd Offline Reinforcement Learning Workshop at NeurIPS 2022, 2022 | 4 | 2022 |
| Zero-shot Preference Learning for Offline RL via Optimal Transport R Liu, Y Du, F Bai, J Lyu, X Li Optimal Transport and Machine Learning Workshop@NeurIPS 2023, 2023 | 3 | 2023 |
| Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients J Lyu, Y Yang, J Yan, X Li Neurocomputing, 2021 | 3 | 2021 |
| Normalization Enhances Generalization in Visual Reinforcement Learning L Li, J Lyu, G Ma, Z Wang, Z Yang, X Li, Z Li AAMAS 2024 (Oral); Generalization in Planning Workshop@NeurIPS 2023, 2023 | 2 | 2023 |
| Exploration and Anti-Exploration with Distributional Random Network Distillation K Yang, J Tao, J Lyu, X Li arXiv preprint arXiv:2401.09750, 2024 | 1 | 2024 |
| The primacy bias in Model-based RL Z Qiao, J Lyu, X Li arXiv preprint arXiv:2310.15017, 2023 | 1 | 2023 |
| Multi-Step Hindsight Experience Replay with Bias Reduction for Efficient Multi-Goal Reinforcement Learning Y Yang, R Yang, J Lyu, J Yan, F Luo, D Luo, X Li, L Li 2023 International Conference on Frontiers of Robotics and Software …, 2023 | 1 | 2023 |
| Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse J Lyu, L Wan, Z Lu, X Li Information Sciences, 2023 | 1 | 2023 |
| Prag: Periodic regularized action gradient for efficient continuous control X Li, Z Qiao, A Gong, J Lyu, C Yu, J Yan, X Li Pacific Rim International Conference on Artificial Intelligence, 106-119, 2022 | 1 | 2022 |
| SEABO: A Simple Search-Based Method for Offline Imitation Learning J Lyu, X Ma, L Wan, R Liu, X Li, Z Lu International Conference on Learning Representations (ICLR 2024), 2024 | | 2024 |
| Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence J Lyu, L Wan, X Li, Z Lu arXiv preprint arXiv:2402.02701, 2024 | | 2024 |
Xiu LITsinghua UniversityVerified email at sz.tsinghua.edu.cn
