1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2023
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
Tianhao Peng, Wenjun Wu, Haitao Yuan +6
Graph neural networks (GNNs) have shown advantages in graph-based analysis tasks. However, most existing methods have the homogeneity assumption and show poor performance on hetero…
cs.MA2023
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
Xin Yu, Rongye Shi, Pu Feng +3
Multi-agent reinforcement learning (MARL) has achieved promising results in recent years. However, most existing reinforcement learning methods require a large amount of data for m…
cs.CY2023★ 1 cited
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Tianhao Peng, Yu Liang, Wenjun Wu +3
Modeling and predicting the performance of students in collaborative learning paradigms is an important task. Most of the research presented in literature regarding collaborative l…