| 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 | 73 | 2020 |
| Deep meta metric learning G Chen, T Zhang, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 72 | 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 | 12 | 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 | 10 | 2021 |
| 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 | 3 | 2022 |
| 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 | 1 | 2023 |
| 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 | 1 | 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, 2022 | 1 | 2022 |
| 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 |
| SPATIO-TEMPORAL APPROXIMATION: ATraining-FREE SNN CONVERSION FOR TRANSFORMERS Y Jiang, K Hu, T Zhang, H Gao, Y Liu, Y Fang, F Chen | 1 | |
| Learning from conflicting data with hidden contexts T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen | | 2022 |
| -Invariant Hierarchical Reinforcement Learning for Building Generalizable Policy Y Li, T Zhang, J Ren, F Chen | | 2022 |
| Subjective Learning for Conflicting Data T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen ICLR Workshop on Agent Learning in Open-Endedness, 2022 | | 2022 |
| Subjective Learning for Open-Ended Data T Zhang, Y Jiang, X Su, S Guo, F Chen arXiv preprint arXiv:2108.12113, 2021 | | 2021 |
Shangqi GuoTsinghuaVerified email at mails.tsinghua.edu.cn
