Zichuan Lin

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Variance Reduction

Eligibility Traces

Episodic Memory

Reinforcement Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
Replay-enhanced Continual Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li
Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR (2023)
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
A Survey on Transformers in Reinforcement Learning. CoRR (2023)
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li
Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML (2023)
Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR (2023)
Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
Replay-enhanced Continual Reinforcement Learning. CoRR (2023)
Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI (2022)
Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. CoRR (2022)
Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye
Pretraining in Deep Reinforcement Learning: A Survey. CoRR (2022)
Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR (2022)
Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang
Revisiting Discrete Soft Actor-Critic. CoRR (2022)
Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) (2021)
Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR (2021)
Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System. CoRR (2021)
Guangxiang Zhu, Zichuan Lin, Guangwen Yang, Chongjie Zhang
Episodic Reinforcement Learning with Associative Memory. ICLR (2020)
Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma
Model-based Adversarial Meta-Reinforcement Learning. CoRR (2020)
Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma
Model-based Adversarial Meta-Reinforcement Learning. NeurIPS (2020)
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang
Object-Oriented Dynamics Learning through Multi-Level Abstraction. AAAI (2020)
Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu
RD$^2$: Reward Decomposition with Representation Decomposition. NeurIPS (2020)
Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
Distributional Reward Decomposition for Reinforcement Learning. CoRR (2019)
Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang
Distributional Reward Decomposition for Reinforcement Learning. NeurIPS (2019)
Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang
Unified Policy Optimization for Robust Reinforcement Learning. ACML (2019)
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
Fully Parameterized Quantile Function for Distributional Reinforcement Learning. NeurIPS (2019)
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
Fully Parameterized Quantile Function for Distributional Reinforcement Learning. CoRR (2019)
Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang
Episodic Memory Deep Q-Networks. CoRR (2018)
Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang
Episodic Memory Deep Q-Networks. IJCAI (2018)