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Zichuan Lin
Zichuan Lin
Tsinghua University; Tencent
Bestätigte E-Mail-Adresse bei mails.tsinghua.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1892019
Episodic Memory Deep Q-Networks
Z Lin, T Zhao, G Yang, L Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2018
1082018
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
772023
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
602020
Episodic Reinforcement Learning with Associative Memory
G Zhu*, Z Lin*, G Yang, C Zhang
International Conference on Learning Representations (ICLR), 2019
522019
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
402021
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
292022
Pretraining in deep reinforcement learning: A survey
Z Xie, Z Lin, J Li, S Li, D Ye
arXiv preprint arXiv:2211.03959, 2022
282022
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
222023
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
212019
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
172022
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
122019
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
62023
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
42023
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
42023
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
32021
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
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