| Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning T Zhang, S Guo, T Tan, X Hu, F Chen Advances in Neural Information Processing Systems 33, 2020 | 105 | 2020 |
| Deep meta metric learning G Chen, T Zhang, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 81 | 2019 |
| Adjacency constraint for efficient hierarchical reinforcement learning T Zhang, S Guo, T Tan, X Hu, F Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4152-4166, 2022 | 29 | 2022 |
| CRIL: Continual robot imitation learning via generative and prediction model C Gao, H Gao, S Guo, T Zhang, F Chen 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 15 | 2021 |
| Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers Y Jiang, K Hu, T Zhang, H Gao, Y Liu, Y Fang, F Chen ICLR 2024, 2024 | 9 | 2024 |
| Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos P Sun, Z Yang, T Zhang, S Guo, F Chen Applied Intelligence, 1-16, 2022 | 8 | 2022 |
| Feature contamination: Neural networks learn uncorrelated features and fail to generalize T Zhang, C Zhao, G Chen, Y Jiang, F Chen ICML 2024, 2024 | 6 | 2024 |
| Fast counterfactual inference for history-based reinforcement learning H Gao, T Zhang, Z Yang, Y Guo, J Ren, S Guo, F Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7613-7623, 2023 | 3 | 2023 |
| MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning Y Li, J Ren, T Zhang, Y Fang, F Chen Knowledge-Based Systems 273, 110613, 2023 | 2 | 2023 |
| Partial consistency for stabilizing undiscounted reinforcement learning H Gao, Z Yang, T Tan, T Zhang, J Ren, P Sun, S Guo, F Chen IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10359-10373, 2022 | 2 | 2022 |
| MPL: Identifying and Exploiting View Bias of Prompt Learning C Zhao, T Zhang, G Chen, Y Jiang, F Chen Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| Learning Invariable Semantical Representation from Language for Extensible Policy Generalization Y Li, J Ren, T Xu, T Zhang, H Gao, F Chen arXiv preprint arXiv:2202.00466, 2022 | 1 | 2022 |
| When do neural networks learn world models? T Zhang, G Chen, F Chen arXiv preprint arXiv:2502.09297, 2025 | | 2025 |
| Subjective Learning for Conflicting Data T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen ICLR 2022 Workshop on Agent Learning in Open-Endedness, 2022 | | 2022 |
| -Invariant Hierarchical Reinforcement Learning for Building Generalizable Policy Y Li, T Zhang, J Ren, F Chen | | |
Shangqi GuoTsinghuaVerified email at mails.tsinghua.edu.cn