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
104 2020 Deep meta metric learning G Chen, T Zhang, J Lu, J Zhou
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
82 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
28 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 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
5 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
4 2024 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
4 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 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 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 M C Zhao, T Zhang, G Chen, Y Jiang, F Chen
Transactions on Machine Learning Research, 0
Y Li, T Zhang, J Ren, F Chen
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