Zichuan Lin

According to our database, Zichuan Lin authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization.

Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Learning Versatile Skills with Curriculum Masking.

Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li

CoRR, 2024

2023

A Survey on Transformers in Reinforcement Learning.

Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye

Trans. Mach. Learn. Res., 2023

Replay-enhanced Continual Reinforcement Learning.

Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye

Trans. Mach. Learn. Res., 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.

Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li

CoRR, 2023

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization.

Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu

CoRR, 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.

Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li

Proceedings of the International Conference on Machine Learning, 2023

2022

Pretraining in Deep Reinforcement Learning: A Survey.

Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye

CoRR, 2022

Revisiting Discrete Soft Actor-Critic.

Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang

CoRR, 2022

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning.

Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System.

Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma

CoRR, 2021

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

RD$^2$: Reward Decomposition with Representation Decomposition.

Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model-based Adversarial Meta-Reinforcement Learning.

Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Episodic Reinforcement Learning with Associative Memory.

Guangxiang Zhu, Zichuan Lin, Guangwen Yang, Chongjie Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Object-Oriented Dynamics Learning through Multi-Level Abstraction.

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fully Parameterized Quantile Function for Distributional Reinforcement Learning.

Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributional Reward Decomposition for Reinforcement Learning.

Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unified Policy Optimization for Robust Reinforcement Learning.

Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Episodic Memory Deep Q-Networks.

Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018