2 papers
cs.MA2025
Achieving Equilibrium under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
Zhuhui Li, Chunbo Luo, Liming Huang +2
Multi-agent multi-objective systems (MAMOS) have emerged as powerful frameworks for modelling complex decision-making problems across various real-world domains, such as robotic ex…
cs.LG2025
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
Shangshang Yang, Jialin Han, Xiaoshan Yu +5
Online intelligent education platforms have generated a vast amount of distributed student learning data. This influx of data presents opportunities for cognitive diagnosis (CD) to…