Yi-Chen Li

According to our database, Yi-Chen Li authored at least 14 papers between 2023 and 2024.

Collaborative distances:

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

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

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

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