13 citations · 52 across the 27 of their papers we have counts for
Showing 2026 · cs.MAShow all
2 papers · 2 filters
cs.MA2026
CoMAI: A Collaborative Multi-Agent Framework for Robust and Equitable Interview Evaluation
Gengxin Sun, Ruihao Yu, Liangyi Yin +3
Ensuring robust and fair interview assessment remains a key challenge in AI-driven evaluation. This paper presents CoMAI, a general-purpose multi-agent interview framework designed…
cs.MA2026
QSIM: Mitigating Overestimation in Multi-Agent Reinforcement Learning via Action Similarity Weighted Q-Learning
Yuanjun Li, Bin Zhang, Hao Chen +3
Value decomposition (VD) methods have achieved remarkable success in cooperative multi-agent reinforcement learning (MARL). However, their reliance on the max operator for temporal…