ملف الباحث

Benoît-Marie Robaglia

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines

    2023

    Recent studies suggest that Multi-Agent Reinforcement Learning (MARL) can be a promising approach to tackle wireless telecommunication problems and Multiple Access (MA) in particular. The most relevant MARL algorithms for distributed MA are those with …