| Fully Parameterized Quantile Function for Distributional Reinforcement Learning D Yang, L Zhao, Z Lin, T Qin, J Bian, TY Liu Advances in Neural Information Processing Systems (NeurIPS), 6190-6199, 2019 | 187 | 2019 |
| Episodic Memory Deep Q-Networks Z Lin, T Zhao, G Yang, L Zhang International Joint Conference on Artificial Intelligence (IJCAI), 2018 | 108 | 2018 |
| A survey on transformers in reinforcement learning W Li, H Luo, Z Lin, C Zhang, Z Lu, D Ye arXiv preprint arXiv:2301.03044, 2023 | 76 | 2023 |
| Model-based Adversarial Meta-reinforcement Learning Z Lin, G Thomas, G Yang, T Ma Advances in Neural Information Processing Systems (NeurIPS) 33, 10161-10173, 2020 | 59 | 2020 |
| Episodic Reinforcement Learning with Associative Memory G Zhu*, Z Lin*, G Yang, C Zhang International Conference on Learning Representations (ICLR), 2019 | 52 | 2019 |
| JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning Z Lin, J Li, J Shi, D Ye, Q Fu, W Yang arXiv preprint arXiv:2112.04907 (IJCAI 2022 Long Oral), 2021 | 39 | 2021 |
| Minerl diamond 2021 competition: Overview, results, and lessons learned A Kanervisto, S Milani, K Ramanauskas, N Topin, Z Lin, J Li, J Shi, D Ye, ... NeurIPS 2021 Competitions and Demonstrations Track, 13-28, 2022 | 28 | 2022 |
| Pretraining in deep reinforcement learning: A survey Z Xie, Z Lin, J Li, S Li, D Ye arXiv preprint arXiv:2211.03959, 2022 | 28 | 2022 |
| Future-conditioned unsupervised pretraining for decision transformer Z Xie, Z Lin, D Ye, Q Fu, Y Wei, S Li International Conference on Machine Learning, 38187-38203, 2023 | 22 | 2023 |
| Distributional Reward Decomposition for Reinforcement Learning Z Lin, L Zhao, D Yang, T Qin, TY Liu, G Yang Advances in Neural Information Processing Systems (NeurlPS), 6212-6221, 2019 | 21 | 2019 |
| RD : Reward Decomposition with Representation Decomposition Z Lin, D Yang, L Zhao, T Qin, G Yang, TY Liu Advances in Neural Information Processing Systems (NeurIPS) 33, 11298-11308, 2020 | 19* | 2020 |
| Revisiting discrete soft actor-critic H Zhou, Z Lin, J Li, Q Fu, W Yang, D Ye arXiv preprint arXiv:2209.10081, 2022 | 16 | 2022 |
| Object-Oriented Dynamics Learning through Multi-Level Abstraction G Zhu, J Wang, Z Ren, Z Lin, C Zhang Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI), 2019 | 12 | 2019 |
| Dynamics-adaptive continual reinforcement learning via progressive contextualization T Zhang, Z Lin, Y Wang, D Ye, Q Fu, W Yang, X Wang, B Liang, B Yuan, ... IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Replay-enhanced Continual Reinforcement Learning T Zhang, KZ Shen, Z Lin, B Yuan, X Wang, X Li, D Ye arXiv preprint arXiv:2311.11557, 2023 | 4 | 2023 |
| Sample dropout: A simple yet effective variance reduction technique in deep policy optimization Z Lin, X Wu, M Sun, D Ye, Q Fu, W Yang, W Liu arXiv preprint arXiv:2302.02299, 2023 | 4 | 2023 |
| Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System Z Lin, J Huang, B Zhou, X He, T Ma arXiv preprint arXiv:2106.04835, 2021 | 3 | 2021 |
| Learning Versatile Skills with Curriculum Masking Y Tang, Z Xie, Z Lin, D Ye, S Li The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Unified Policy Optimization for Robust Reinforcement Learning Z Lin, L Zhao, J Bian, T Qin, G Yang Asian Conference on Machine Learning (ACML), 395-410, 2019 | | 2019 |
| Revisiting Discrete Soft Actor-Critic T Wei, Z Lin, J Xing, Y Shi, L Shen, C Yu, D Ye Transactions on Machine Learning Research, 0 | | |
Deheng YeDirector of AI Applications, Tencent在 e.ntu.edu.sg 的电子邮件经过验证