Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. - Fuxiang Zhang; Chengxing Jia; Yi-Chen Li 001; Lei Yuan 005; Yang Yu 001; Zongzhang Zhang (ICLR, 2023)

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning. - Yihao Sun; Jiaji Zhang; Chengxing Jia; Haoxin Lin; Junyin Ye; Yang Yu 001 (ICML, 2023)

Fast Teammate Adaptation in the Presence of Sudden Policy Change. - Ziqian Zhang; Lei Yuan 005; Lihe Li; Ke Xue 001; Chengxing Jia; Cong Guan; Chao Qian 001; Yang Yu 001 (UAI, 2023)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. - Chengxing Jia; Fuxiang Zhang; Yi-Chen Li 001; Chenxiao Gao; Xu-Hui Liu; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (AAMAS, 2024)

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. - Chengxing Jia; Chenxiao Gao; Hao Yin; Fuxiang Zhang; Xiong-Hui Chen; Tian Xu 003; Lei Yuan 005; Zongzhang Zhang; Zhi-Hua Zhou; Yang Yu 001 (ICLR, 2024)

Offline Transition Modeling via Contrastive Energy Learning. - Ruifeng Chen 003; Chengxing Jia; Zefang Huang; Tian-Shuo Liu; Xu-Hui Liu; Yang Yu 001 (ICML, 2024)

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. - Xinyu Zhang; Wenjie Qiu 005; Yi-Chen Li 001; Lei Yuan 005; Chengxing Jia; Zongzhang Zhang; Yang Yu 001 (ICML, 2024)

Empowering Language Models with Active Inquiry for Deeper Understanding. - Jing-Cheng Pang; Heng-Bo Fan; Pengyuan Wang; Jiahao Xiao; Nan Tang; Si-Hang Yang; Chengxing Jia; Sheng-Jun Huang; Yang Yu 001 (CoRR, 2024)

BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation. - Chengxing Jia; Pengyuan Wang; Ziniu Li; Yi-Chen Li 001; Zhilong Zhang; Nan Tang; Yang Yu 001 (CoRR, 2024)

Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. - Yi-Chen Li 001; Fuxiang Zhang; Wenjie Qiu 005; Lei Yuan 005; Chengxing Jia; Zongzhang Zhang; Yang Yu 001 (CoRR, 2024)

Model gradient: unified model and policy learning in model-based reinforcement learning. - Chengxing Jia; Fuxiang Zhang; Tian Xu 003; Jing-Cheng Pang; Zongzhang Zhang; Yang Yu 001 (Frontiers Comput. Sci., 2024)

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. - Yi-Chen Li 001; Fuxiang Zhang; Wenjie Qiu 005; Lei Yuan 005; Chengxing Jia; Zongzhang Zhang; Yang Yu 001; Bo An 001 (ICLR, 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 001; Chengxing Jia; Junyin Ye; Jiaji Zhang; Yang Yu 001 (ICLR, 2025)

Interactive Large Language Models for Reliable Answering under Incomplete Context. - Jing-Cheng Pang; Heng-Bo Fan; Pengyuan Wang; Jiahao Xiao; Nan Tang; Si-Hang Yang; Chengxing Jia; Ming-Kun Xie; Xiang Chen; Sheng-Jun Huang; Yang Yu 001 (Trans. Mach. Learn. Res., 2025)

Controlling Large Language Model with Latent Actions. - Chengxing Jia; Ziniu Li; Pengyuan Wang; Yi-Chen Li 001; Zhenyu Hou; Yuxiao Dong; Yang Yu 001 (CoRR, 2025)