LEARNING
面向通信丢失下鲁棒多智能体协调的价值感知预测
Kemal Devrim Kafadar, Eren Özaltun, Mahmud Efnan Şanlı, Feyza Orak, Emirhan Gazi, Kubilay Kağan Kömürcü, Nazım Kemal Üre
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本文提出了一种价值感知的多智能体观测共享方法（Value-Aware MARO），通过利用优势估计动态加权预测器损失函数，使预测学习过程与策略演化耦合。该方法在通信中断时优先学习高回报的决策相关动态，提升了多智能体系统的鲁棒性。
关键词
multi-agent coordinationcommunication lossreinforcement learningvalue-aware predictionactor-critic
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