ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. - Chenxiao Gao; Chenyang Wu 001; Mingjun Cao; Rui Kong; Zongzhang Zhang; Yang Yu 001 (AAAI, 2024)

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. - Renzhe Zhou; Chenxiao Gao; Zongzhang Zhang; Yang Yu 001 (AAAI, 2024)

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)

Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. - Rui Kong; Chenyang Wu 001; Chen-Xiao Gao; Zongzhang Zhang; Ming Li 005 (IJCAI, 2024)

Diffusion Spectral Representation for Reinforcement Learning. - Dmitry Shribak; Chen-Xiao Gao; Yitong Li; Chenjun Xiao; Bo Dai 001 (NeurIPS, 2024)

Reinforced In-Context Black-Box Optimization. - Lei Song; Chenxiao Gao; Ke Xue 001; Chenyang Wu 001; Dong Li 016; Jianye Hao; Zongzhang Zhang; Chao Qian 001 (CoRR, 2024)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. - Chen-Xiao Gao; Shengjun Fang; Chenjun Xiao; Yang Yu 001; Zongzhang Zhang (CoRR, 2024)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. - Chen-Xiao Gao; Chenyang Wu 001; Mingjun Cao; Chenjun Xiao; Yang Yu 001; Zongzhang Zhang (CoRR, 2025)

Reward Models in Deep Reinforcement Learning: A Survey. - Rui Yu; Shenghua Wan; Yucen Wang; Chen-Xiao Gao; Le Gan; Zongzhang Zhang; De-Chuan Zhan (CoRR, 2025)