SCALE-COMM：用于多智能体强化学习通信的共享对比对齐潜在嵌入

Mahmoud Abouelyazid, Eman Hammad

2026

摘要

本文提出SCALE-COMM框架，通过自监督学习解耦通信与策略优化，生成紧凑、稳定且与任务相关的潜在消息。实验表明，该方法在标准基准和仓库协调任务中显著提升了通信表示质量和任务性能。

multi-agent reinforcement learningemergent communicationcontrastive learninglatent embeddingsautonomous mobile robots

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