Zichuan Lin - RankMe

43 papers A* 11C 1Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Domain Offline Policy Adaptation via Selective Transition Correction. CoRR Mengbei Yan, Jiafei Lyu, Shengjie Sun, Zhongjian Qiao, Jingwen Yang, Zichuan Lin, Deheng Ye, Xiu Li
2026	J	`jnl`	HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning. CoRR Zhicong Lu, Zichuan Lin, Wei Jia, Changyuan Tian, Deheng Ye, Peiguang Li, Li Jin, Nayu Liu, Guangluan Xu, Wei Feng
2026	A*	`conf`	Multi-agent In-context Coordination via Decentralized Memory Retrieval. AAAI Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2026	J	`jnl`	ProAct: Agentic Lookahead in Interactive Environments. CoRR Yangbin Yu, Mingyu Yang, Junyou Li, Yiming Gao, Feiyu Liu, Yijun Yang, Zichuan Lin, Jiafei Lyu, Yicheng Liu, Zhicong Lu, Deheng Ye, Jie Jiang
2026	J	`jnl`	UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience. CoRR Zichuan Lin, Feiyu Liu, Yijun Yang, Jiafei Lyu, Yiming Gao, Yicheng Liu, Zhicong Lu, Yangbin Yu, Mingyu Yang, Junyou Li, Deheng Ye, Jie Jiang
2025	J	`jnl`	AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition. CoRR Zichuan Lin, Yicheng Liu, Yang Yang, Lvfang Tao, Deheng Ye
2025	—	`conf`	CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks. EMNLP (Findings) Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang
2025	J	`jnl`	CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks. CoRR Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang
2025	J	`jnl`	EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control. CoRR Kai Yang, Xin Xu, Yangkun Chen, Weijie Liu, Jiafei Lyu, Zichuan Lin, Deheng Ye, Saiyong Yang
2025	J	`jnl`	Multi-agent In-context Coordination via Decentralized Memory Retrieval. CoRR Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2025	J	`jnl`	PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation. CoRR Zichuan Lin, Xiaokai Huang, Jiate Liu, Yuxuan Han, Jia Chen, Xiapeng Wu, Deheng Ye
2025	J	`jnl`	SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization. CoRR Zhengcheng Wang, Zichuan Lin, Yijun Yang, Haobo Fu, Deheng Ye
2024	J	`jnl`	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. IEEE Trans. Neural Networks Learn. Syst. Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
2024	A*	`conf`	Learning Versatile Skills with Curriculum Masking. NeurIPS Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
2024	J	`jnl`	Learning Versatile Skills with Curriculum Masking. CoRR Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
2024	J	`jnl`	Revisiting Discrete Soft Actor-Critic. Trans. Mach. Learn. Res. Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye
2023	J	`jnl`	A Survey on Transformers in Reinforcement Learning. CoRR Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023	J	`jnl`	A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023	A*	`conf`	Future-conditioned Unsupervised Pretraining for Decision Transformer. ICML Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li
2023	J	`jnl`	Future-conditioned Unsupervised Pretraining for Decision Transformer. CoRR Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li
2023	J	`jnl`	Replay-enhanced Continual Reinforcement Learning. CoRR Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
2023	J	`jnl`	Replay-enhanced Continual Reinforcement Learning. Trans. Mach. Learn. Res. Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
2023	J	`jnl`	Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu
2022	J	`jnl`	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. CoRR Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li
2022	A*	`conf`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. IJCAI Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2022	J	`jnl`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR 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
2022	J	`jnl`	Pretraining in Deep Reinforcement Learning: A Survey. CoRR Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye
2022	J	`jnl`	Revisiting Discrete Soft Actor-Critic. CoRR Haibin Zhou, Zichuan Lin, Junyou Li, Deheng Ye, Qiang Fu, Wei Yang
2021	J	`jnl`	Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System. CoRR Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma
2021	J	`jnl`	JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning. CoRR Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang
2021	—	`conf`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 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
2020	A*	`conf`	Episodic Reinforcement Learning with Associative Memory. ICLR Guangxiang Zhu, Zichuan Lin, Guangwen Yang, Chongjie Zhang
2020	A*	`conf`	Model-based Adversarial Meta-Reinforcement Learning. NeurIPS Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma
2020	J	`jnl`	Model-based Adversarial Meta-Reinforcement Learning. CoRR Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma
2020	A*	`conf`	Object-Oriented Dynamics Learning through Multi-Level Abstraction. AAAI Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang
2020	A*	`conf`	RD$^2$: Reward Decomposition with Representation Decomposition. NeurIPS Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu
2019	A*	`conf`	Distributional Reward Decomposition for Reinforcement Learning. NeurIPS Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang
2019	J	`jnl`	Distributional Reward Decomposition for Reinforcement Learning. CoRR Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
2019	A*	`conf`	Fully Parameterized Quantile Function for Distributional Reinforcement Learning. NeurIPS Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019	J	`jnl`	Fully Parameterized Quantile Function for Distributional Reinforcement Learning. CoRR Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019	C	`conf`	Unified Policy Optimization for Robust Reinforcement Learning. ACML Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang
2018	A*	`conf`	Episodic Memory Deep Q-Networks. IJCAI Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang
2018	J	`jnl`	Episodic Memory Deep Q-Networks. CoRR Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang