Zichuan Lin

According to our database, Zichuan Lin authored at least 33 papers between 2018 and 2026.

Collaborative distances:

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

2026

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation.

He Zhao, Yijun Yang, Zichuan Lin, Deheng Ye, Chunyan Miao

CoRR, April, 2026

UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience.

Zichuan Lin, Feiyu Liu, Yijun Yang, Jiafei Lyu, Yiming Gao, Yicheng Liu, Zhicong Lu, Yangbin Yu, Mingyu Yang, Junyou Li, Deheng Ye, Jie Jiang

CoRR, March, 2026

HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning.

Zhicong Lu, Zichuan Lin, Wei Jia, Changyuan Tian, Deheng Ye, Peiguang Li, Li Jin, Nayu Liu, Guangluan Xu, Wei Feng

CoRR, March, 2026

Cross-Domain Offline Policy Adaptation via Selective Transition Correction.

Mengbei Yan, Jiafei Lyu, Shengjie Sun, Zhongjian Qiao, Jingwen Yang, Zichuan Lin, Deheng Ye, Xiu Li

CoRR, February, 2026

ProAct: Agentic Lookahead in Interactive Environments.

Yangbin Yu, Mingyu Yang, Junyou Li, Yiming Gao, Feiyu Liu, Yijun Yang, Zichuan Lin, Jiafei Lyu, Yicheng Liu, Zhicong Lu, Deheng Ye, Jie Jiang

CoRR, February, 2026

Multi-agent In-context Coordination via Decentralized Memory Retrieval.

Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation.

Zichuan Lin, Xiaokai Huang, Jiate Liu, Yuxuan Han, Jia Chen, Xiapeng Wu, Deheng Ye

CoRR, December, 2025

AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition.

Zichuan Lin, Yicheng Liu, Yang Yang, Lvfang Tao, Deheng Ye

CoRR, December, 2025

SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization.

Zhengcheng Wang, Zichuan Lin, Yijun Yang, Haobo Fu, Deheng Ye

CoRR, December, 2025

EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control.

Kai Yang, Xin Xu, Yangkun Chen, Weijie Liu, Jiafei Lyu, Zichuan Lin, Deheng Ye, Saiyong Yang

CoRR, November, 2025

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks.

Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang

CoRR, August, 2025

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks.

Qi Chai, Zhang Zheng, Junlong Ren, Deheng Ye, Zichuan Lin, Hao Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

Revisiting Discrete Soft Actor-Critic.

Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye

Trans. Mach. Learn. Res., 2024

Learning Versatile Skills with Curriculum Masking.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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