Lin, Zichuan

14 publications

NeurIPS 2024 Learning Versatile Skills with Curriculum Masking Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li

TMLR 2024 Revisiting Discrete Soft Actor-Critic Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye

TMLR 2023 A Survey on Transformers in Reinforcement Learning Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye

ICML 2023 Future-Conditioned Unsupervised Pretraining for Decision Transformer Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li

TMLR 2023 Replay-Enhanced Continual Reinforcement Learning Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye

IJCAI 2022 JueWu-MC: Playing Minecraft with Sample-Efficient Hierarchical Reinforcement Learning Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang

ICLR 2020 Episodic Reinforcement Learning with Associative Memory Guangxiang Zhu, Zichuan Lin, Guangwen Yang, Chongjie Zhang

NeurIPS 2020 Model-Based Adversarial Meta-Reinforcement Learning Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma

AAAI 2020 Object-Oriented Dynamics Learning Through Multi-Level Abstraction Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang

NeurIPS 2020 RD$^2$: Reward Decomposition with Representation Decomposition Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu

NeurIPS 2019 Distributional Reward Decomposition for Reinforcement Learning Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang

NeurIPS 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu

ACML 2019 Unified Policy Optimization for Robust Reinforcement Learning Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang

IJCAI 2018 Episodic Memory Deep Q-Networks Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang