2 papers
cs.MA2026
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
Shan Yang, Yang Liu
Scaling cooperative multi-agent reinforcement learning (MARL) is fundamentally limited by cross-agent noise. When agents share a common reward, each agent's learning signal is comp…
eess.SP2025
Movable Antennas-Assisted Over-the-Air Computation: Dynamic and Static Design
Zhenqiao Cheng, Nanxi Li, Jianchi Zhu +3
A novel over-the-air computation (AirComp) framework empowered by movable antennas (MAs) is proposed to significantly enhance computation accuracy. Within this framework, the joint…