2 citations · 2 across the 4 of their papers we have counts for
4 papers
Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning
Teng Pang, Zhiqiang Dong, Yan Zhang +3
Offline multi-agent reinforcement learning (MARL) aims to learn the optimal joint policy from pre-collected datasets, requiring a trade-off between maximizing global returns and mi…
A Theory for Conditional Generative Modeling on Multiple Data Sources
Rongzhen Wang, Yan Zhang, Chenyu Zheng +2
The success of large generative models has driven a paradigm shift, leveraging massive multi-source data to enhance model capabilities. However, the interaction among these sources…
Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
Yan Zhang, Guoqiang Wu, Bingzheng Wang +3
In Continual Learning (CL), while existing work primarily focuses on the multi-class classification task, there has been limited research on Multi-Label Learning (MLL). In practice…
DiffAIL: Diffusion Adversarial Imitation Learning
Bingzheng Wang, Guoqiang Wu, Teng Pang +2
Imitation learning aims to solve the problem of defining reward functions in real-world decision-making tasks. The current popular approach is the Adversarial Imitation Learning (A…