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Conference and Workshop Papers
- 2024
[c6]Chenxiao Gao, Chenyang Wu
, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu:
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. AAAI 2024: 12127-12135- [c5]Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu:
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. AAAI 2024: 17132-17140 - [c4]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS 2024: 944-953 - [c3]Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu:
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR 2024 - [c2]Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li:
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. IJCAI 2024: 4317-4325 - [c1]Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai:
Diffusion Spectral Representation for Reinforcement Learning. NeurIPS 2024
Informal and Other Publications
- 2025
- [i7]Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang:
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. CoRR abs/2502.04778 (2025) - 2024
- [i6]Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian:
Reinforced In-Context Black-Box Optimization. CoRR abs/2402.17423 (2024) - [i5]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR abs/2403.07261 (2024) - [i4]Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai:
Diffusion Spectral Representation for Reinforcement Learning. CoRR abs/2406.16121 (2024) - [i3]Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang:
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. CoRR abs/2407.04451 (2024) - 2023
- [i2]Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu:
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. CoRR abs/2309.05915 (2023) - [i1]Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu:
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. CoRR abs/2312.15909 (2023)
Coauthor Index
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