Yi-Chen Li

According to our database, Yi-Chen Li authored at least 20 papers between 2023 and 2025.

Collaborative distances:

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

2025

Generalizable Multi-Modal Adversarial Imitation Learning for Non-Stationary Dynamics.

Yi-Chen Li, Ningjing Chao, Zongzhang Zhang, Fuxiang Zhang, Lei Yuan, Yang Yu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Generalist Reward Models: Found Inside Large Language Models.

Yi-Chen Li, Tian Xu, Yang Yu, Xuqin Zhang, Xiong-Hui Chen, Zhongxiang Ling, Ningjing Chao, Lei Yuan, Zhi-Hua Zhou

CoRR, June, 2025

Controlling Large Language Model with Latent Actions.

Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu

CoRR, March, 2025

Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference.

Wenjie Qiu, Yi-Chen Li, Xuqin Zhang, Tianyi Zhang, Yihang Zhang, Zongzhang Zhang, Yang Yu

CoRR, March, 2025

Constraining an Unconstrained Multi-agent Policy with offline data.

Cong Guan, Tao Jiang, Yi-Chen Li, Zongzhang Zhang, Lei Yuan, Yang Yu

Neural Networks, 2025

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning.

Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation.

Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models.

Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye

CoRR, 2024

Q-Adapter: Training Your LLM Adapter as a Residual Q-Function.

Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu

CoRR, 2024

BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation.

Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang Yu

CoRR, 2024

Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator.

Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal.

Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics.

Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.

Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation.

Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments.

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

CoRR, 2023

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning.

Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu

Proceedings of the International Conference on Machine Learning, 2023

Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data.

Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract).

Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023