Yi-Chen Li - RankMe

32 papers A* 11A 2Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
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`	Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints. CoRR Tian Xu, Chenyang Wang, Xiaochen Zhai, Ziniu Li, Yi-Chen Li, Yang Yu
2026	J	`jnl`	Off-Policy Value-Based Reinforcement Learning for Large Language Models. CoRR Peng-Yuan Wang, Ziniu Li, Tian Xu, Bohan Yang, Tian-Shuo Liu, Chenyang Wang, Xiong-Hui Chen, Yi-Chen Li, Tianyun Yang, Congliang Chen, Yang Yu
2025	A*	`conf`	Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. ICLR Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu
2025	J	`jnl`	Constraining an Unconstrained Multi-agent Policy with offline data. Neural Networks Cong Guan, Tao Jiang, Yi-Chen Li, Zongzhang Zhang, Lei Yuan, Yang Yu
2025	A*	`conf`	Controlling Large Language Model with Latent Action. ICML Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025	J	`jnl`	Controlling Large Language Model with Latent Actions. CoRR Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025	J	`jnl`	Generalist Reward Models: Found Inside Large Language Models. CoRR Yi-Chen Li, Tian Xu, Yang Yu, Xuqin Zhang, Xiong-Hui Chen, Zhongxiang Ling, Ningjing Chao, Lei Yuan, Zhi-Hua Zhou
2025	J	`jnl`	Generalizable Multi-Modal Adversarial Imitation Learning for Non-Stationary Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. Yi-Chen Li, Ningjing Chao, Zongzhang Zhang, Fuxiang Zhang, Lei Yuan, Yang Yu
2025	J	`jnl`	Generalizable Offline Multiobjective Reinforcement Learning via Preference-Conditioned Diffuser. IEEE Trans. Neural Networks Learn. Syst. Yuchen Xiao, Lei Yuan, Lihe Li, Ziqian Zhang, Yi-Chen Li, Yang Yu
2025	J	`jnl`	Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models. IEEE Trans. Neural Networks Learn. Syst. Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2025	A*	`conf`	Learning to Reuse Policies in State Evolvable Environments. ICML Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu
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	A*	`conf`	Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. ICLR Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An
2025	J	`jnl`	Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference. CoRR Wenjie Qiu, Yi-Chen Li, Xuqin Zhang, Tianyi Zhang, Yihang Zhang, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. CoRR Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu
2024	J	`jnl`	BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation. CoRR Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang Yu
2024	A*	`conf`	Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. IJCAI Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan
2024	A	`conf`	Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation. AAMAS Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu
2024	A*	`conf`	Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. ICML Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. CoRR Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. ICML Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xuhui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang
2024	A	`conf`	Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024	—	`conf`	Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator. ECML/PKDD (7) Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan
2024	J	`jnl`	Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. CoRR Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2024	J	`jnl`	Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. CoRR Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. ICLR Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang
2023	J	`jnl`	Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). AAAI Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. ICML Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
2023	J	`jnl`	Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. CoRR Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu